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The Care Planning and Patient Navigation Course offers a structured exploration of how to develop, maintain, and implement effective care plans within healthcare settings. From working collaboratively with individuals in need to understanding the UK’s care planning policies, this course equips learners with the knowledge to contribute confidently to patient-centred care. The curriculum also explores care mapping, confidentiality, safeguarding, and detailed record-keeping—key elements for those involved in navigating patients through health and social care services. In addition, the course provides essential guidance on patient moving and handling, including modules on anatomy, safe handling techniques, and care planning documentation. Whether you're involved in managing care plans or supporting individuals through various stages of healthcare, this course helps you stay aligned with best practice standards while meeting professional expectations. Designed with flexibility in mind, it suits those aiming to develop their understanding of care coordination without the need for location-based attendance. Enroll now to navigate your way to a rewarding career in healthcare. Key Features: CPD Certified Instant e-certificate and hard copy dispatch by next working day Fully online, interactive course with audio voiceover Developed by qualified professionals in the field Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum : Care Planning and Record Keeping Module 01: Introduction Module 02: Planning Care With the Individual in Need Module 03: Concept Care Mapping Module 04: Implementing and Evaluating the Care Plan Module 05: Maintaining Medical Records Module 06: Care Planning Policy in the UK Module 07: Confidentiality and Record-Keeping Module 08: Safeguarding Children, Young People and Their Families CSTF Patient Moving and Handling Module 01: Introduction to Patient Moving and Handling Module 02: Human Anatomy and Biomechanics Module 03: Safe Manual Handling Principles Module 04: Equipment and Techniques for Patient Moving and Handling Module 05: Care Planning and Documentation Module 06: Special Considerations and Risk Management Learning Outcomes: Gain a comprehensive understanding of the Planning Process. Develop skills in planning care tailored to individual needs. Master the use of Concept Care Mapping for effective planning. Acquire proficiency in implementing and evaluating plans. Ensure adept maintenance of medical records and confidentiality. Attain knowledge of Patient Moving and Handling principles and techniques. Accreditation All of our courses, including this Course are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certification Once you've successfully completed your Course, you will immediately be sent your digital certificates. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our certifications have no expiry dates, although we recommend renewing them every 12 months. Assessment At the end of the Course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven't, there's no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself. CPD 20 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals aspiring to work in patient care and navigation roles. Those aiming to enhance their understanding of record-keeping and confidentiality. Healthcare support staff wanting to specialize in patient moving and handling. Individuals interested in policies and safeguarding within the UK healthcare system. Career path Healthcare Assistant - £18K to 25K/year. Care Coordinator - £22K to 30K/year. Patient Navigator - £25K to 35K/year. Health Records Officer - £20K to 28K/year. Safeguarding Officer - £28K to 40K/year. Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Overview of Sociology Online Course Sociology is the scientific study of society, exploring how people interact, behave in groups, and form social structures. Our immersive sociology online course will help you uncover the complexities of human societies.  Explore various sociological perspectives, understanding the connections that unite us and influence our shared experiences. Start your journey through diverse cultural landscapes, uncovering the intricate interplay between individuals, groups, and institutions. Investigate the profound impact of socialisation, the nuances of gender and sexuality, and the ever-evolving dynamics of social change.  With over 45,000 students enrolled in the UK, this sociology online course empowers you to navigate the complexities of our interconnected world, fostering a profound understanding of the human condition and the forces that shape our collective narratives. Get a quick look at the course content: This Sociology Online Course will help you to learn: Understand key sociological concepts and theories. Analyse social structures and processes within society. Explore the role of culture and socialisation in shaping individuals. Examine social stratification, gender, and family dynamics. Critically evaluate social change and social movements. Develop research skills for sociological analysis. This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Sociology Online Course. 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 Sociology Online Course online 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 more profound comprehension of societal dynamics. Students pursuing undergraduate or postgraduate studies in sociology. Professionals in fields like social work, counselling, or policymaking. Anyone interested in understanding human behaviour and social change. Researchers or analysts exploring sociological concepts and methodologies. Requirements You don't need any educational qualification or experience to enrol in the Sociology Online Course online 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 Sociology graduates pursue diverse careers. Here are some examples with average UK salaries: Social Worker: £22,000 to £35,000/year. Policy Officer - £22,000 to £55,000/year Sociology Lecturer - £33,000 to £51,000/year Researcher - £23,000 to £40,000/year Data Analyst - £23,000 to £60,000/year Course Curriculum Module 01: Introduction to Sociology Introduction to Sociology 00:40:00 Module 02: Sociological Perspectives and Theories Sociological Perspectives and Theories 01:00:00 Module 03: Society and Culture Society and Culture 00:40:00 Module 04: Socialisation and Social Interaction Socialisation and Social Interaction 00:25:00 Module 05: Social Stratification Social Stratification 00:45:00 Module 06: Gender, Sex, and Sexuality Gender, Sex, and Sexuality 00:50:00 Module 07: Marriage and Family Marriage and Family 00:50:00 Module 08: Religion and Education Religion and Education 00:30:00 Module 09: Social Change: Collective Behaviour and Social Movements Social Change: Collective Behaviour and Social Movements 00:30:00 Module 10: Sociological Research Sociological Research 00:25:00 Final Exam Final Exam - Sociology 00:25:00 Assignment Assignment - Sociology 00:00:00

Our Security Manager course will provide learners with a broad understanding of security theory and best practices in the workplace. After successful course completion, students will be able to utilise their theoretical knowledge and practical skills to identify issues, understand risks and how to neutralise them. This award-winning Security Manager is our most popular online course for anyone looking to start a career or challenge themselves to learn something new in security management. The Security Manager course is structured into 8 exciting units, complete with expertly designed online study materials and video lessons so you can learn everything you need to know to succeed. Why choose this course Earn a digital Certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Assignment Who is this course for? Security Manager is suitable for anyone who wants to gain extensive knowledge, potential experience and professional skills in the related field. This is a great opportunity for all students from any academic backgrounds to learn more on this subject.

SEN Teaching Assistants are responsible for a wide range of practical and administrative tasks. Their work helps support pupils' learning and creates more available time for teaching. There is a huge demand for SEN Teaching Assistants, and if you think you're up to the challenge then this award-winning SEN Teaching Diploma is the perfect course for you. The course is structured into 5 modules with expertly designed online study materials and video lessons which will teach you everything you need to succeed. You will also discover how to identify students most in need of support and plan for the special educational needs of various pupils. After taking this course, you will be fully prepared to become an ideal teaching assistant to all children and make a real difference to a child's learning. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. Who is this course for? SEN Teaching Diploma is suitable for anyone who want to gain extensive knowledge, potential experience and professional skills in the related field. This is a great opportunity for all student from any academic backgrounds to learn more on this subject. Career path Training offered by the SEN Teaching Diploma could potentially benefit a range of roles, but would particularly enhance careers in Education Teaching Training Support Work SEN Education Other professional SEN teaching roles

Employment in the UK is a very long and complicated process. Most companies start recruiting new graduates almost a year prior to the starting date of a job. Yet many people want to work there as it is a breeding ground for new tech, innovation and multi culture. If you want to get a clear understanding of the employment laws in the UK,you should definitely consider taking this course. Employment Law UK is a very structured course as it initially introduces you to UK employment law, types of workers and employment courts. You will also learn about laws regarding employment for foreign nationals including what happens when illegal immigrants are hired for jobs. Next you learn about the terms of an employment including express, implied and varying terms. You will further get more information regarding employee rights, termination, discrimination, business transfers and collective rights. The course provides some useful websites in order to help job seekers and people interested in understanding UK employment laws alike. If you want to get a job in the UK be it general or law related this course can seriously be of use. Who is the course for? People who are interested in getting a job in the UK and need to learn about the laws Professionals seeking to gain employment in UKVI or as a solicitor Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of applying for NUS Extra Discount Card; 24/7 student support via email. Career Path: Employment Law UK is a useful qualification to possess and would be beneficial for any professions or career from any industry you are in such as: UKVI officer Recruitment Consultant HR Officer Solicitor

Enhance your skills with the CPD Certified Mechanical Engineering course. This program covers essential topics such as mechanics, thermodynamics, materials science, and fluid dynamics. Gain practical knowledge and industry-recognized certification to boost your career and stay ahead in the field of mechanical engineering.

Master basic maths and equip yourself with fundamental problem-solving skills with the Maths Teaching Assistant course. This course is the ultimate guide for maths teachers who want to boost their confidence in the classroom and introduce maths in an accessible way.  This maths training program will help you to develop essential numeracy skills and maths teaching skills, covering key topics such as algebra, fractions, percentages and complex equations. You will explore strategies to help your pupils interpret primary numerical data and break down complicated information into simple structures. This course includes practical video lessons and exercises to ensure a valuable learning experience, regardless of your academic background. Learning Outcomes of The Maths Teaching Assistant Develop your knowledge of integers, fractions, multiples, and factors Learn how to work with decimal numbers, percentages, rational numbers, ratio & proportions Develop transferable problem-solving and analytical skills to use in the office and beyond Be able to apply your newfound knowledge to everyday contexts and situations Master complex equations and algebraic expressions with our expert tips and techniques Boost your professional development with a recognised qualification Understand how to interpret basic numerical data Develop your confidence and abilities in everyday maths tasks Why choose this course Earn a free e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post.

Our Security Management Diploma course will provide learners with a broad understanding of security theory and best practices in the workplace. After successful course completion, students will be able to utilise their theoretical knowledge and practical skills to identify issues, understand risks and how to neutralise them. This award-winning Security Management Diploma is our most popular online course for anyone looking to start a career or challenge themselves to learn something new in security management. The Diploma is structured into 8 exciting units, complete with expertly designed online study materials and video lessons so you can learn everything you need to know to succeed. Why choose this course Earn a digital Certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Assignment Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £99. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate of Achievement from Janets Upon successful completion of the course, you will be able to obtain your course completion e-certificate. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment To successfully complete the course, students will have to take an automated multiple-choice exam. This exam will be online and you will need to score 60% or above to pass the course. After successfully passing the exam, you will be able to apply for a Quality Licence Scheme endorsed certificate of achievement. To verify your enhanced skills in the subject, we recommend that you also complete the assignment questions. These can be completed at any time which is convenient for yourself and will be assessed by our in-house specialised tutors. Full feedback will then be given on your current performance, along with any further advice or support. Who is this course for? Security Management Diploma is suitable for anyone who wants to gain extensive knowledge, potential experience and expert skills in the related field. This is a great opportunity for all students from any academic backgrounds to learn more on this subject.

Our Public Speaking Presentation course concentrates more on teaching the essential skills and information for aspiring professionals. Study in your own time and at your own pace and impress audiences by delivering more powerful, significant presentations. The course structured into Public Speaking and Presentation Skills Training modules with expertly composed online study materials and video lessons, so you learn everything that you need to know to succeed in the long run. This Public Speaking and Presentation Skills Training will furnish you with the knowledge and understanding needed to design, organise and deliver a compelling speaking performance in a variety of environments. The course will also teach you how to increase your communication skills as well as understand and persuade your audience, fascinate them with a flawless presentation, and manage your body language correctly while speaking. Upon completion of the course, your new skills, abilities and credentials will boost your career for life and speak with more confidence, keep people engaged and entertained through the productive use of tone. The Public Speaking and Presentation Skills Training is organised into 4 modules and includes everything you need to become successful in this profession. To make this course more accessible for you, we have designed it for both part-time and full-time students. You can study at your own pace or become an expert in just 1 hours! If you require support, our experienced tutors are always available to help you throughout the comprehensive syllabus of this course and answer all your queries through email. Who is This Public Speaking and Presentation Skills Training for? Public Speaking and Presentation Skills Training is suitable for anyone who want to gain extensive knowledge, potential experience and professional skills in the related field. This course is designed by industry experts so you don't have to worry about the quality. Most importantly, this course does not require any experience or qualification to get enrolled. You will learn everything that is required from this course directly. This is a great opportunity for all student from any academic backgrounds to learn more on this subject. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams. Course design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Course Content Module 01: Quickly Become an Excellent Speaker and Presenter 2 Lectures Module 02: Concluding the Beginning of Your Public Speaking and Presenting Skills Journey Module 03: Passing the Ultimate Presentation Skills Test Module 04: The Successful Public Speaking and Presentation Skills Path

Overview of Data Science & Machine Learning with Python Join our Data Science & Machine Learning with Python course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Data Science & Machine Learning with Python course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Data Science & Machine Learning with Python course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Data Science & Machine Learning with Python Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Science & Machine Learning with Python. 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 Data Science & Machine Learning with Python 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? This Data Science & Machine Learning with Python is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python 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 The certification and skills you get from this Data Science & Machine Learning with Python Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:04:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:06:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Data Science & Machine Learning with Python 00:00:00