39202 Sup courses

Course Overview: Intermittent fasting is a popular and effective way to improve your health and lose weight. But what is intermittent fasting, and how does it work? This Intermittent Fasting For Health & Maximal Weight Loss course will answer all these questions. You will learn the science behind intermittent fasting, the different fasting methods, and how to choose the best one. You will also learn how to plan your meals, track your calories and macronutrients, and optimise your nutrition for intermittent fasting. You will discover how intermittent fasting affects your metabolism, hormones, inflammation, and cellular repair and how it can help you prevent or manage various chronic diseases. You will also learn how to combine intermittent fasting with different types of exercise, such as resistance training, cardio, or high-intensity interval training (HIIT), to maximise your muscle growth and fat loss. You will also learn about the potential pitfalls and challenges of intermittent fasting and how to overcome them. Enrol today and start your journey to a healthier and happier you! Key Features of the Course: This Intermittent Fasting For Health & Maximal Weight Loss course offers a CPD certificate upon completion, demonstrating your commitment to professional development in health and nutrition. You will have 24/7 learning assistance to support your journey, and the course materials are designed to be engaging and informative, providing a rich learning experience. Who is This Course For? This Intermittent Fasting For Health & Maximal Weight Loss course is ideal for anyone interested in health, nutrition, and weight loss. Whether you're a fitness enthusiast, a health professional, or someone looking to improve their health and lose weight, this course will provide valuable insights and practical knowledge. What You Will Learn: The science and benefits of intermittent fasting. How to debunk common myths about intermittent fasting. The role of macronutrients in fasting and how to manage them. The importance of meal planning in intermittent fasting. The relationship between intermittent fasting and fitness. How to use intermittent fasting for muscle growth and fat loss. The potential synergy between intermittent fasting and ketogenic diets. Why Enrol in This Course: This Intermittent Fasting For Health & Maximal Weight Loss course is top-rated by learners and has recently been updated with the latest research and trends in intermittent fasting. By enrolling, you will develop skills in health and nutrition that are highly sought after in today's health-conscious society. Requirements: There are no specific prerequisites for this course. All you need is an interest in health, nutrition and a willingness to learn. Career Path: Upon completion of this course, you could explore a variety of professions, including: Nutritionist (£29,000 per year) Fitness Trainer (£19,500 per year) Health Coach (£25,000 per year) Wellness Consultant (£40,000 per year) Dietician (£35,000 per year) Health Writer (£31,000 per year) Health and Wellness Speaker (£45,000 per year) Certification: Upon completing the Intermittent Fasting For Health & Maximal Weight Loss course, learners will receive a CPD certificate, demonstrating their commitment to professional development in health and nutrition. Course Curriculum 6 sections • 37 lectures • 02:35:00 total length •Welcome to the course: What You Will Learn: 00:03:00 •Intermittent Fasting Explained: 00:03:00 •The Different Types Of Intermittent Fasting: Which Is Best?: 00:07:00 •Intermittent Fasting vs Regular Fasting: 00:02:00 •The Health Benefits Of Intermittent Fasting: 00:06:00 •Intermittent Fasting Myths Debunked: 00:09:00 •Breakfast: How Important Is It Really?: 00:06:00 •Who Intermittent Fasting Is Right For: 00:02:00 •Introduction: 00:01:00 •The Intermittent Fasting Priorities: 00:05:00 •Calories In Intermittent Fasting: 00:05:00 •Macronutrients In Intermittent Fasting: Protein, Carbs & Fat: 00:02:00 •Protein Explained & How Much You Should Eat: 00:06:00 •Dietary Fat Explained & How Much You Should Eat: 00:05:00 •Carbohydrates Explained & How Many You Should Eat: 00:12:00 •When To Eat In Intermittent Fasting: 00:01:00 •The Perfect Pre- & Post-Workout Meals: 00:05:00 •Foods For Intermittent Fasting Overview: 00:02:00 •The Best Protein, Fat & Carb Foods: 00:05:00 •Top 3 The Supplements For Intermittent Fasting: 00:06:00 •Setting Up Your Meal Plan Introduction: 00:01:00 •How To Find Your Calories For Intermittent Fasting: 00:03:00 •How To Correctly Track Calories: 00:05:00 •How To Find Your Macronutrients For Intermittent Fasting: 00:04:00 •Bringing Everything Together: 00:02:00 •Organizing Your Meals: How Many & When To Eat: 00:04:00 •Your Meals & Workouts: 00:02:00 •Should You Train Fasted?: 00:06:00 •Filling Your Meal Plan With Quality Foods: 00:04:00 •Intermittent Fasting & Fitness Introduction: 00:01:00 •Intermittent Fasting For Muscle Growth: 00:06:00 •How To Train With Intermittent Fasting: 00:07:00 •Intermittent Fasting For Fat Loss: 00:05:00 •Intermittent Fasting & Ketogenic Diets: Should You Do Both?: 00:05:00 •Is Intermittent Fasting Bad For Women?: 00:02:00 •How Does Intermittent Fasting Benefit Longevity: 00:03:00 •Who Should Avoid Intermittent Fasting?: 00:02:00

Course Overview: Unlock Your Potential in Nursing Assistance! The very first requirement in a hospital is that it should do the sick no harm.' The Level 3 Diploma in Nursing Assistant Complete Training ensures just that. With meticulously structured modules, this comprehensive course illuminates the vital role nursing assistants play in patient care, ensuring they uphold the highest standards in all aspects of their work.Besides, it covers a broad spectrum of essential nursing knowledge, from exploring varied healthcare settings to an in-depth study of legal, ethical, and professional standards over two extensive modules. Communication's pivotal role, maintaining health and hygiene, infection control, and understanding the profound importance of the immune system in nursing are all meticulously addressed.Enrol today and take the first step towards a promising future in nursing with the Level 3 Diploma in Nursing Assistant Complete Training. ⭐ Key Features of the Course: ⭐ CPD Certificate: Upon completing the Level 3 Diploma in Nursing Assistant Complete Training, you will receive a prestigious Continuing Professional Development (CPD) certificate, internationally recognised for its quality and value. 24/7 Learning Assistance: Our dedicated support team is available round-the-clock to provide you with guidance, clarify doubts, and offer valuable insights, ensuring that you have an enriching and seamless learning experience. 👥 Who is this Course For? 👥 This course is ideal for individuals eager to kickstart a career in nursing assistance. Whether you're a fresh graduate exploring various career paths or an experienced healthcare professional looking to enhance your skills, this diploma program will equip you with the knowledge required to excel in the field of nursing assistance. 📚 What You Will Learn 📚 Throughout this course, you will delve into a wide range of comprehensive modules that cover all aspects of nursing assistance. Here's a brief overview of the course topics: In Module 1, you'll be introduced to the fundamentals of being a nursing assistant, laying a strong foundation for your future learning journey. Modules 2, 3 and 4 focus on exploring different healthcare settings and understanding ethical practice's legal, standards, and professional aspects. Effective communication is vital in healthcare, and Module 5 will equip you with the skills to communicate effectively with patients, their families, and other healthcare professionals. Subsequent modules will delve into crucial topics such as health and safety, infection control, medication administration, pain management, nutrition, and much more. Each module is designed to enhance your knowledge and practical abilities, ensuring you become a competent nursing assistant. Why Enrol in This Course: 1️⃣ Top Reviewed Course: Our Level 3 Diploma in Nursing Assistant Complete Training has received outstanding reviews from past learners, with many expressing their satisfaction with the course's in-depth content and practical relevance. 2️⃣ Recently Updated: This course has been meticulously updated to reflect the latest advancements and best practices in nursing assistance, ensuring you receive the most up-to-date knowledge and skills. 3️⃣ In-demand Skills: By completing this course, you will develop essential skills highly sought after in the healthcare industry. Employers value professionals with a strong foundation in nursing assistance and can contribute effectively to patient care. Requirements: Enrolling in the Level 3 Diploma in Nursing Assistant Complete Training requires a passion for helping others and a commitment to learning. No prior experience or educational background is required, making this course accessible to individuals from diverse backgrounds. Career Path: Upon completing this diploma program, you'll have edges in many careers in the healthcare sector. Some of the professions you can pursue include: Nursing Assistant - Average UK Salary: £22,000 Care Assistant - Average UK Salary: £18,000 Healthcare Support Worker - Average UK Salary: £20,000 Elderly Care Assistant - Average UK Salary: £19,500 Home Care Assistant - Average UK Salary: £18,500 Palliative Care Assistant - Average UK Salary: £21,500 Hospital Ward Assistant - Average UK Salary: £20,500 Certification: Upon completing the Level 3 Diploma in Nursing Assistant Complete Training, you will be awarded a CPD certificate. This prestigious certification will validate your newfound skills and knowledge, enhancing your professional credibility in the healthcare industry. Course Curriculum 3 sections • 20 lectures • 09:23:00 total length •Module 1: Introduction to Nursing Assistant: 00:15:00 •Module 2: Working in Different Healthcare Settings: 00:15:00 •Module 3: Legal, Standards and Professional Aspects of Ethical Practice: Part - 1: 00:50:00 •Module 4: Legal, Standards and Professional Aspects of Ethical Practice: Part - 2: 00:48:00 •Module 5: Effective Communication in Nursing: 00:47:00 •Module 6: Health and Safety in Nursing: 00:47:00 •Module 7: Hygiene in Nursing: 00:30:00 •Module 8: Infection Control: 00:57:00 •Module 9: Asepsis in Nursing: 00:16:00 •Module 10: Medication Administration in Nursing: 00:18:00 •Module 11: Understanding the Immune System in Nursing: 00:26:00 •Module 12: Rest and Sleep Management in Nursing: 00:17:00 •Module 13: Mobility and Immobility Issues of Patients in Nursing: 00:15:00 •Module 14: Pain Management for Nurses: 00:22:00 •Module 15: Nutrition in Nursing: 00:23:00 •Module 16: Fluid and Electrolyte Balance: 00:21:00 •Module 17: Assisting with Elimination: 00:28:00 •Module 18: Oxygenation in Nursing: 00:28:00 •Mock Exam - Level 3 Diploma in Nursing Assistant Complete Training: 00:20:00 •Final Exam - Level 3 Diploma in Nursing Assistant Complete Training: 00:20:00

Overview Mechanical engineering stands as a pillar of innovation and development. As the world becomes more technologically advanced, the demand for these professionals is evident globally, making 'Crack Your Mechanical Engineer Interview' an essential step toward success. From the essentials of basic mechanical engineering to the complexities of thermodynamics, each module is designed to enhance the candidate's interview preparedness. Topics such as the significance of tolerance in engineering, the intricacies of fits, and the principles underlying manufacturing and material science are intricately explored.  The curriculum further delves into the strength of materials, the theory of machines, nuances of automobile engineering, and the pivotal principles of fluid mechanics and thermodynamics. It is a comprehensive compass for aspiring professionals eager to navigate the rigorous terrains of mechanical engineering interviews. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Crack Your Mechanical Engineer Interview. It is available to all students, of all academic backgrounds. Requirements Our Crack Your Mechanical Engineer Interview is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 10 sections • 52 lectures • 02:22:00 total length •Scope of the course: 00:03:00 •Introduction to Basic Mechanical Engineering: 00:02:00 •Explain the term torque: 00:03:00 •State Archimedes Principle: 00:02:00 •What is the importance of tolerance in engineering?: 00:04:00 •Explain different types of fits: 00:03:00 •Introduction to Manufacturing & Material Science: 00:01:00 •Define pitting: 00:03:00 •Distinguish Between A Jig And Fixture: 00:03:00 •Explain knurling: 00:03:00 •Why is heat treatment of steel metal crucial?: 00:03:00 •What is extruded aluminium?: 00:02:00 •What do you mean by annealing?: 00:04:00 •How is martensite structure formed in steel?: 00:04:00 •Introduction to Strength Of Material: 00:01:00 •Define a uniformly distributed load: 00:04:00 •Define Buckling Factor: 00:02:00 •Is it the stress that produces strain or vice-versa: 00:04:00 •What is the value of modulus of elasticity of steel?: 00:03:00 •What is Stress Concentration?: 00:03:00 •Introduction to Theory Of Machine: 00:01:00 •What is gear ratio?: 00:01:00 •What do you mean by cotter joint: 00:04:00 •What are the advantages of Gear drive?: 00:04:00 •What are the benefits of cycloidal gears?: 00:03:00 •Introduction to automobile engineering: 00:01:00 •What are the various types of brakes?: 00:03:00 •Differentiate between scavenging and supercharging: 00:03:00 •In IC engine, which part is known as column?: 00:03:00 •What causes white smoke in two-stroke locomotive engines?: 00:03:00 •What is the difference between turbochargers and superchargers?: 00:02:00 •Introduction to Fluid Mechanics: 00:01:00 •Explain The Difference Between Rotational And Irrotational Flow?: 00:03:00 •Navier Stokes Equation Represents The Conservation Of Which Quantity?: 00:03:00 •What are major and minor head losses in a fluid flow system?: 00:03:00 •What is a Newtonian fluid?: 00:05:00 •What are the differences between elbows and bends? Which has greater head losses?: 00:05:00 •What is the ratio of the thickness of TBL to the thickness of HBL?: 00:03:00 •Introduction to Thermodynamics: 00:01:00 •What is the second law of thermodynamics?: 00:04:00 •What is the difference between the heat engine & heat pump?: 00:05:00 •Introduction to RAC & HMT: 00:01:00 •What is Refrigeration? What is the unit of refrigeration?: 00:03:00 •Which Cycle is used in Air Refrigeration System?: 00:02:00 •What do you mean by emissive power?: 00:02:00 •What is Under-cooling or Sub-cooling of refrigeration system?: 00:03:00 •Explain mechanical refrigeration: 00:02:00 •What is heat transfer co-efficient?: 00:01:00 •What is the advantage of using pneumatic?: 00:03:00 •Define least count and how to calculate for vernier callipers?: 00:02:00 •Why do you need a biological shield in nuclear plants?: 00:03:00 •What Is The Value Of Coefficient Of Friction For Ball Bearing?: 00:02:00

Course Overview: Are you passionate about helping others and making a difference in their lives? Do you want to pursue a rewarding and fulfilling health and social care career? If yes, then this course is for you. Nursing: Nurse Training Level 4 is a comprehensive and helpful course that will equip you with the essential skills and knowledge to become a competent and confident nurse. You will learn how to provide quality care to patients of all ages and backgrounds in different settings and situations. You will also gain an understanding of the legal, ethical, and professional aspects of health and social care work, as well as the principles and policies that guide your practice. With a carefully crafted curriculum, industry accreditation, and round-the-clock learning support, we ensure you receive a world-class education that prepares you for a fulfilling career in healthcare. Key Features of the Course: This Nursing: Nurse Training Level 4 course maintains CPDQS, which means it meets the high standards of quality and relevance for professional development. This course offers 24/7 learning assistance, which means that you can access the course materials anytime and anywhere and get support from our expert instructors whenever you need it. This course is delivered online through interactive lectures, videos, quizzes, and assignments. You can learn at your own pace and convenience. Who is This Course For? This course is ideal for individuals who possess a genuine passion for nursing and aspire to make a positive impact on the lives of others. Whether you are a fresh graduate exploring career options or an experienced healthcare professional seeking career advancement, the Nurse Training Level 4 course is tailored to meet your needs and propel you towards success in the nursing field. What You Will Learn: Throughout this comprehensive Nursing: Nurse Training Level 4 course, you will delve into various modules covering essential aspects of nursing practice. This course combines two major areas of study: nursing and health and social care. You will study 28 modules that cover topics such as nursing theory and practice, communication, rights and responsibilities, role as a caregiver, equality and diversity, safeguarding, health and safety, risk management, infection control, medication administration, adult care, immune system, pain management, nutrition, fluid and electrolyte balance, elimination, and oxygenation. You will also gain a solid understanding of health and safety responsibilities, risk management, and safeguarding vulnerable individuals in the healthcare setting. Why Enrol in This Course: Enrolling in the Nurse Training Level 4 course is a top-reviewed course with accolades for its engaging curriculum and recent updates that align with industry advancements. By completing this course, you will develop critical skills such as effective communication, infection control, risk management, and patient care across different life stages. Requirements: To enrol in the Nurse Training Level 4 course, all you need is a passion for nursing and a computer or mobile device with internet access. Career Path: After completing this Nursing: Nurse Training Level 4 course, you will get advantages in various career paths in nursing or health and social care, such as: Registered Nurse - £33,000 to £45,000 per year Nurse Practitioner - £35,000 to £55,000 per year Clinical Nurse Specialist - £40,000 to £60,000 per year Nurse Educator - £35,000 to £50,000 per year Nursing Home Manager - £30,000 to £45,000 per year Palliative Care Nurse - £28,000 to £40,000 per year Occupational Health Nurse - £30,000 to £45,000 per year Certification: You will receive a CPD certificate to download and print after completing the course. You can also add it to your resume and portfolio to showcase your achievement. Course Curriculum 3 sections • 29 lectures • 14:16:00 total length •Module1: Introduction to Nursing: 00:17:00 •Module 2: Working in Different Healthcare Settings: 00:15:00 •Module 3: Understanding legal, professional standards of practice and ethical aspects of health care- Part 1: 00:52:00 •Module 4: Understanding legal, professional standards of practice and ethical aspects of health care- Part 2: 00:50:00 •Module 5: Effective Communication in Nursing: 00:47:00 •Module 6: Health and Safety in Nursing: 00:47:00 •Module 7: Hygiene in Nursing: 00:30:00 •Module 8: Infection Control: 00:57:00 •Module 9: Asepsis in Nursing: 00:16:00 •Module 10: Medication Administration in Nursing: 00:18:00 •Module 11: Adult Care in Different Life Stages: 00:17:00 •Module 12: Understanding Immune System in Nursing: 00:28:00 •Module 13: Rest and Sleep Management in Nursing: 00:19:00 •Module 14: Mobility and Immobility Issues of Patients in Nursing: 00:17:00 •Module 15: Pain Management for Nurses: 00:24:00 •Module 16: Nutrition in Nursing: 00:25:00 •Module 17: Fluid and Electrolyte Balance: 00:23:00 •Module 18: Assisting with Elimination: 00:30:00 •Module 19: Oxygenation in Nursing: 00:30:00 •Module 1: Introduction to Health and Social Care: 00:19:00 •Module 2: Communication and its Relevance: 00:41:00 •Module 3: Rights and Responsibilities as a Health and Social Care Worker: 00:39:00 •Module 4: Role as A Caregiver and Healthcare Professional: 00:23:00 •Module 5: Working in Health and Social Care; Promoting Equality, Diversity and Rights: 00:46:00 •Module 6: Important Principles and Policies in Health and Social Care Work: 00:20:00 •Module 7: Safeguarding Vulnerable Individuals: 00:52:00 •Module 8: Health and Safety Responsibilities: 00:51:00 •Module 9: Risk Management in Health and Social Care: 00:03:00 •Assignment - Nursing: Nurse Training Level 4: 00:00:00

Overview This comprehensive course on Addiction and Mental Health - Dual Diagnosis will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Addiction and Mental Health - Dual Diagnosis comes with accredited certification which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Addiction and Mental Health - Dual Diagnosis. It is available to all students, of all academic backgrounds. Requirements Our Addiction and Mental Health - Dual Diagnosis is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 10 sections • 49 lectures • 12:17:00 total length •Promotional 5 minute video: 00:06:00 •SAMHI Dual Diagnosis Intro video and downloadable worksheet PowerPoint slides: 00:04:00 •Module 1 - Drugs and Effects: VIDEO PART 1 (content part 1 - 4): 00:16:00 •Module 1 - Drugs and Effects: VIDEO PART 2 (content part 5 - 6): 00:19:00 •Module 1 - Drugs and Effects: VIDEO PART 3 (content part 7 - 8): 00:20:00 •Module 1 - Drugs and Effects: VIDEO PART 4 (content part 9): 00:15:00 •Module 1 - Drugs and Effects: VIDEO PART 5 (content part 10): 00:10:00 •Module 1 - Drugs and Effects: VIDEO PART 6 (content 10 - 12): 00:18:00 •Module 1 - Drugs and Effects: VIDEO PART 7 (content part 13): 00:13:00 •Module 1 - Drugs and Effects: VIDEO PART 8 (content part 14): 00:20:00 •Module 1 - Drugs and Effects: VIDEO PART 9 (content part 14): 00:20:00 •Module 1 - Drugs and Effects: VIDEO PART 10 (content part 15 - 18): 00:19:00 •Module 2 Addictions & Mental Health: VIDEO PART 1 content part 1 - 2: 00:16:00 •Module 2 Addictions & Mental Health: VIDEO PART 2 content part 3 - 5: 00:18:00 •Module 2 Addictions & Mental Health: VIDEO PART 3 content part 6 - 7: 00:13:00 •Module 2 Addictions & Mental Health: VIDEO PART 4 content part: 00:17:00 •Module 2 Addictions & Mental Health: VIDEO PART 5 content part: 00:18:00 •Module 2 Addictions & Mental Health: VIDEO PART 6 content part: 00:20:00 •Module 2 Addictions & Mental Health: VIDEO PART 7 content part: 00:14:00 •Module 2 Addictions & Mental Health: VIDEO PART 8 content part: 00:12:00 •Module 2 Addictions & Mental Health: VIDEO PART 9 content part: 00:20:00 •Module 2 Addictions & Mental Health: VIDEO PART 10 content part: 00:13:00 •Module 3 Harm Minimisation & Optimal Health VIDEO PART 1 content part: 00:23:00 •Module 3 Harm Minimisation & Optimal Health VIDEO PART 2 content part: 00:17:00 •Module 3 Harm Minimisation & Optimal Health VIDEO PART 3 content part: 00:09:00 •Module 3 Harm Minimisation & Optimal Health VIDEO PART 4 content part: 00:18:00 •Module 3 Harm Minimisation & Optimal Health VIDEO PART 5 content part: 00:17:00 •Module 3 Harm Minimisation & Optimal Health VIDEO PART 1 content part 6: 00:11:00 •Module 3 Harm Minimisation & Optimal Health VIDEO PART 7 content part 7: 00:12:00 •Module 4 Brain Works - Neurophysiology: 00:17:00 •Module 4 Brain Works - Neurophysiology VIDEO PART 1 content part: 00:10:00 •Module 4 Brain Works - Neurophysiology VIDEO PART 2 content part: 00:17:00 •Module 4 Brain Works - Neurophysiology VIDEO PART 3 content part: 00:19:00 •Module 4 Brain Works - Neurophysiology VIDEO PART 4 content part: 00:16:00 •Module 4 Brain Works - Neurophysiology VIDEO PART 5 content part: 00:11:00 •Module 5 Trauma Model & Keys to Treatment VIDEO PART 1 content part 1 - 2a - 2f: 00:20:00 •Module 5 Trauma Model & Keys to Treatment VIDEO PART 2 content part 2g: 00:15:00 •Module 5 Trauma Model & Keys to Treatment VIDEO PART 3 content part 2h - 2i: 00:15:00 •Module 5 Trauma Model & Keys to Treatment VIDEO PART 4 content part 3: 00:13:00 •Module 5 Trauma Model & Keys to Treatment VIDEO PART 5 content part 4: 00:12:00 •Module 5 Trauma Model & Keys to Treatment VIDEO PART 6 content part 5 - 7: 00:18:00 •Module 5 Trauma Model & Keys to Treatment VIDEO PART 7 content part 8: 00:17:00 •Module 5 Trauma Model & Keys to Treatment VIDEO PART 7 content partVIDEO PART 8: 00:16:00 •Module 5 Trauma Model & Keys to Treatment VIDEO PART 9 content part 11: 00:16:00 •Module 5 Trauma Model & Keys to Treatment VIDEO PART 10 content part 12: 00:19:00 •Module 6 Brief & Early Intervention and Tripod of Support VIDEO 1 content part 1: 00:18:00 •Module 6 Brief & Early Intervention and Tripod of Support VIDEO 2 content part 2: 00:20:00 •Resources - Addiction & Mental Health (Dual Diagnosis) Integrative 12hrs: 00:00:00 •Assignment - Addiction and Mental Health - Dual Diagnosis: 00:00:00

Overview This comprehensive course on CompTIA A+ (220-1002) will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This CompTIA A+ (220-1002) comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this CompTIA A+ (220-1002). It is available to all students, of all academic backgrounds. Requirements Our CompTIA A+ (220-1002) is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Course Curriculum 22 sections • 106 lectures • 14:51:00 total length •CompTIA A+ 2019 Core 2 (220-1002) Course Introduction: 00:02:00 •What is the CompTIA A+: 00:02:00 •Why Get A+ Certified?: 00:03:00 •What is on the CompTIA A+ Core 2 (220-1002) Exam?: 00:04:00 •How to Pass the CompTIA A+ Exam: 00:04:00 •How to use this Video Course: 00:03:00 •Professional Communication Part 1: 00:06:00 •Professional Communication Part 2: 00:07:00 •Physical Safety: 00:07:00 •What is an Operating System?: 00:09:00 •Users and Super Users: 00:05:00 •Why Windows?: 00:08:00 •Windows Editions and Versions: 00:12:00 •Touring the macOS: 00:06:00 •Touring Linux: 00:08:00 •32-Bit vs. 64-Bit Processing: 00:12:00 •Virtual Memory: 00:06:00 •Power Protection: 00:10:00 •Understanding Partitioning: 00:04:00 •MBR Partitioning: 00:12:00 •GPT Partitioning: 00:09:00 •Understanding File Systems: 00:12:00 •Popular File Systems: 00:07:00 •Formatting in Action: 00:11:00 •Dynamic Disks: 00:09:00 •Software RAID in Storage Spaces: 00:10:00 •Encrypting Mass Storage: 00:09:00 •Boot from Everything: 00:12:00 •Installing Windows: 00:12:00 •Post-Installation Tasks: 00:12:00 •Windows Installation options: 00:07:00 •What is the Registry?: 00:11:00 •Processes: 00:07:00 •Services: 00:04:00 •Your Windows Toolset: 00:08:00 •Windows 7 Task Manager: 00:09:00 •Windows 10 Task Manager: 00:06:00 •Information and Configuration Tools: 00:11:00 •Performance Monitor: 00:12:00 •Event Viewer: 00:07:00 •Tools for Programmers: 00:08:00 •Introduction to Users and Groups: 00:06:00 •Managing Users and Groups: 00:12:00 •NTFS Permissions: 00:08:00 •Linux and macOS Permissions: 00:05:00 •File Explorer: 00:14:00 •Sharing Resources: 00:11:00 •Security Policies: 00:08:00 •Patch Management: 00:11:00 •Working with Disks: 00:06:00 •Working with Applications: 00:07:00 •System Restore: 00:05:00 •Backing up Your Files: 00:07:00 •Task Scheduler: 00:07:00 •Understanding the CLI: 00:11:00 •Navigating the CLI: 00:14:00 •Working with Folders: 00:07:00 •Working with Files: 00:11:00 •Working with Drives: 00:13:00 •Super Copy Commands: 00:09:00 •Advanced Windows Command Line: 00:08:00 •Advanced Linux Commands: 00:13:00 •Command-Line Permissions: 00:08:00 •Introduction to Scripting: 00:10:00 •Interpreted Languages: 00:12:00 •Windows Recovery Environment: 00:05:00 •Advanced Windows Startup Options: 00:07:00 •Troubleshooting Boot Problems: 00:10:00 •Troubleshooting at the GUI: 00:11:00 •Troubleshooting Applications: 00:07:00 •Kernel Panic: 00:05:00 •Resolutions and Aspect Ratios: 00:06:00 •Multiple Monitors: 00:05:00 •Network Card Troubleshooting: 00:09:00 •Working with Connections: 00:09:00 •Working with Workgroups: 00:08:00 •Working with Active Directory: 00:14:00 •Windows Sharing with Mac and LInux: 00:07:00 •Net Command: 00:04:00 •Firewall Configuration: 00:11:00 •Windows Firewall: 00:08:00 •Port Forwarding: 00:07:00 •Wireless Encryption: 00:11:00 •Enterprise Wireless: 00:16:00 •Telnet and SSH: 00:07:00 •Remote Desktop Connections: 00:06:00 •The World Wide Web: 00:09:00 •Troubleshooting Internet Connections: 00:07:00 •Power Management: 00:11:00 •Mobile Device Security: 00:08:00 •Mobile Security Troubleshooting: 00:06:00 •Mobile Device Troubleshooting: 00:10:00 •Threats: 00:10:00 •Physical Security: 00:08:00 •Passwords and Authentication: 00:14:00 •Malware: 00:14:00 •Anti-Malware: 00:11:00 •Social Engineering: 00:06:00 •Licensing: 00:10:00 •Incident Response: 00:05:00 •Environmental Controls: 00:06:00 •Documents You Need to Know: 00:09:00 •Data You Need to Know: 00:04:00 •Change Management: 00:06:00 •The Zen of Backup: 00:11:00 •Recycling and Data Destruction: 00:07:00

Overview of Level 3 Diploma in Adult Care (CPD) Looking to start a rewarding career in nursing, health, or social care? The Level 3 Diploma in Adult Care (CPD) could be your ticket. With a shortage of skilled workers in the UK's care sector, there's a growing need for people like you who want to make a difference. This course covers essential topics in adult nursing and social care, equipping you with the skills to excel in various care settings, from hospitals to homes and communities. Communication is vital in nursing, and this course teaches you how to communicate effectively with patients, their families, and fellow healthcare professionals. You'll learn the art of active listening and providing support during difficult times, ensuring you can connect more deeply with those in your care. Safety is paramount in healthcare, and you'll dive into modules covering hygiene, infection control, and safe medication administration. By understanding these crucial practices, you'll be equipped to prevent the spread of diseases and ensure the well-being of your patients. This course provides comprehensive training on caring for adults at different stages of life. From understanding the basics of the immune system to managing rest, sleep, and mobility issues, you'll learn how to address the unique needs of each individual under your care. Whether assisting with pain management, nutrition, or ensuring proper oxygenation, you'll learn how to address the unique needs of each individual under your care. The demand for skilled workers in the UK adult care sector is significant, with estimates suggesting an average vacancy rate of 9.9% in 2022/23, translating to roughly 152,000 unfilled positions. This demand is expected to rise further, with projections indicating a need for 25% more adult care workers (around 440,000) by 2035 compared to 2022/23 figures.  Whether you're a caregiver looking to enhance your skills or someone completely new to the field, this diploma offers a pathway to success in adult care. Join a sector that values compassion, dedication, and excellence, and start your journey towards a fulfilling career in nursing and social care today.  This Level 3 Diploma in Adult Care (CPD) Course will help you to learn: Confidently administer nursing care, upholding legal and ethical frameworks. Foster effective communication within diverse healthcare settings. Implement hygiene and infection control practices to ensure patient safety. Manage miscellaneous adult needs across various life stages. Understand and support the body's vital systems for optimal health. Provide dignified assistance with personal care and elimination needs This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Level 3 Diploma in Adult Care (CPD). Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Level 3 Diploma in Adult Care (CPD) course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? Individuals seeking a career change or wishing to expand their healthcare skillset. Aspiring nurses aiming for a strong foundation in adult care principles. Caregivers are looking to elevate their qualifications and knowledge. Those passionate about supporting the well-being of adults in diverse settings. Anyone wishing to contribute to a vital and growing sector in the UK. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Level 3 Diploma in Adult Care (CPD) course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path This Level 3 Diploma in Adult Care (CPD) Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Mental Health Nurse - £22K to 31K/year. Registered Nurse - £28K to 45K/year. Social Care Worker - £20K to 30K/year. Support Worker - £18K to 25K/year. Care Home Manager - £25K to 35K/year. Course Curriculum Adult Nursing Module1: Introduction to Nursing 00:17:00 Module 2: Working in Different Healthcare Settings 00:15:00 Module 3: Understanding legal, professional standards of practice and ethical aspects of health care- Part 1 00:52:00 Module 4: Understanding legal, professional standards of practice and ethical aspects of health care- Part 2 00:50:00 Module 5: Effective Communication in Nursing 00:47:00 Module 6: Health and Safety in Nursing 00:47:00 Module 7: Hygiene in Nursing 00:30:00 Module 8: Infection Control 00:57:00 Module 9: Asepsis in Nursing 00:16:00 Module 10: Medication Administration in Nursing 00:18:00 Adult Care in Different Life Stages 00:17:00 Module 12: Understanding Immune System in Nursing 00:28:00 Module 13: Rest and Sleep Management in Nursing 00:19:00 Module 14: Mobility and Immobility Issues of Patients in Nursing 00:17:00 Module 15: Pain Management for Nurses 00:24:00 Module 16: Nutrition in Nursing 00:25:00 Module 17: Fluid and Electrolyte Balance 00:23:00 Module 18: Assisting with Elimination 00:30:00 Module 19: Oxygenation in Nursing 00:30:00 Health and Social Care Training Module 1: Introduction to Health and Social Care 00:19:00 Module 2: Communication and its Relevance 00:41:00 Module 3: Rights and Responsibilities as a Health and Social Care Worker 00:39:00 Module 4: Role as A Caregiver and Healthcare Professional 00:23:00 Module 5: Working in Health and Social Care; Promoting Equality, Diversity and Rights 00:46:00 Module 6: Important Principles and Policies in Health and Social Care Work 00:20:00 Module 7: Safeguarding Vulnerable Individuals 00:52:00 Module 8: Health and Safety Responsibilities 00:51:00 Module 9: Risk Management in Health and Social Care 00:03:00 Assignment Assignment - Level 3 Diploma in Adult Care (CPD) 00:00:00

Overview This comprehensive course on Data Science & Machine Learning with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science & Machine Learning with Python comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Data Science & Machine Learning with Python. It is available to all students, of all academic backgrounds. Requirements Our Data Science & Machine Learning with Python is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 2 sections • 90 lectures • 10:24:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:08:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:07:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

Flash Sale Now On | Gifts: PDF Certificate

Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? This course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:04:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:06:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00