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Machine Learning and other AI: Are You Ready? Machine Learning is the latest 'hot' title in computing and Artificial Intelligence. It sounds new but is influencing your life already. Machine Learning and AI will affect more and more of your life as they mature and more enabling technologies intersect with them. Machine Learning will change many disciplines and careers, overcoming scale issues, enabling better knowledge and insights, and augmenting many professions. Are you ready? This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

The driving industry is a vital sector of the economy, offering diverse job opportunities and career paths for those with the necessary skills and qualifications. Learning to drive large vehicles can open doors to exciting and well-paying jobs. Our Learning to Drive Large Vehicles course is designed to equip learners with the knowledge and skills needed to succeed in this industry. Learning outcomes: Develop communication skills to deal with clients Learn to drive both small and large vehicles Overcome disabilities and impairments Tackle ADI exams with ease Pass assessments to ace your exams Gain the confidence to start a career as a driver The Learning to Drive Large Vehicles course is designed to give students a comprehensive understanding of the driver industry. With a curriculum that covers eight modules, including structured driver training, communication skills, and driving large vehicles, this course equips students with the knowledge and skills necessary to become successful drivers. Throughout the course, students will learn from experienced instructors with a wealth of knowledge and expertise in the driver industry. They will also have access to a range of learning resources, including video lectures, interactive quizzes, and assessments to test their understanding of the course material. Whether you're looking to start a new career as a professional driver or simply want to improve your driving skills, this course is the perfect opportunity to do so. So, why wait? Enrol now and take the first step towards a successful career as a driver. Certification Upon completion of the course, learners can obtain a certificate as proof of their achievement. You can receive a £4.99 PDF Certificate sent via email, a £9.99 Printed Hardcopy Certificate for delivery in the UK, or a £19.99 Printed Hardcopy Certificate for international delivery. Each option depends on individual preferences and locations. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is perfect for: Individuals looking to enter the driver industry Individuals interested in driving large vehicles Individuals who want to overcome disabilities and impairments to become a driver Individuals who want to learn communication skills to deal with clients Individuals who want to tackle ADI exams and pass assessments Career path Some of the career paths related to this field are: Driving Instructor: £20,000 - £35,000 Bus Driver: £18,000 - £28,000 Truck Driver: £20,000 - £40,000 Coach Driver: £20,000 - £35,000 Taxi Driver: £18,000 - £25,000 Delivery Driver: £18,000 - £25,000

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

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Course Overview Gain the capability to multi-skill in programming and make a full stack web GIS application by taking this course on creating Machine Learning for Predictive Maps in Python and Leaflet Level 4. This expertly compiled coaching will show you how to use the tools and functions of the most widely-used programming language in the world to make powerful forecasting applications. This comprehensive Python tutorial is the perfect way to learn how to create impressive and practical pieces of IT work. From basic installations to setting up unique predictive environments, you will be shown how to produce complex forecasting routines right from scratch and for all manner of uses. By mastering the foundational skills and knowledge of machine learning on the most popular platform, you will raise your profile to a higher level for employment opportunities and organisational value in the IT sector.  This best selling Machine Learning for Predictive Maps in Python and Leaflet Level 4 has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Machine Learning for Predictive Maps in Python and Leaflet Level 4 is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Machine Learning for Predictive Maps in Python and Leaflet Level 4 is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Machine Learning for Predictive Maps in Python and Leaflet Level 4 is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Machine Learning for Predictive Maps in Python and Leaflet Level 4, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Machine Learning for Predictive Maps in Python and Leaflet Level 4 will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Machine Learning for Predictive Maps in Python and Leaflet Level 4 to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

In this practical, hands-on course, you'll learn how to use R for effective data analysis and visualization and how to make use of that data in a practical manner. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.

Highlights of the Course Course Type: Online Learning Duration: 1 to 2 hours Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about mental health and learning disability nursing Understand the core competencies and principles of mental health and learning disability nursing Explore the various areas of mental health and learning disability nursing Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert mental health and learning disability nurse Learning Disability Nursing with Mental Health Course Master the skills you need to propel your career forward in mental health and learning disability nursing. This course will equip you with the essential knowledge and skillset that will make you a confident mental health and learning disability nurse and take your career to the next level. This comprehensive learning disability nursing with mental health course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this learning disability nursing with mental health course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective mental health and learning disability nursing practice and equip you with the essential skills, confidence and competence to assist you in the mental health and learning disability nursing industry. You'll gain a solid understanding of the core competencies required to drive a successful career in mental health and learning disability nursing. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for mental health and learning disability nurse or for people who are aspiring to specialise in mental health and learning disability nursing. Enrol in this learning disability nursing with mental health course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive learning disability nursing with mental health course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this mental health and learning disability nursing can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This learning disability nursing with mental health course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This learning disability nursing with mental health course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This learning disability nursing with mental health course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Introduction to Mental Health Nursing Module 01: Introduction to Mental Health Nursing 00:11:00 Evolution of Mental Health Services Module 02: Evolution of Mental Health Services 00:21:00 Mental Health Well Being in the UK Module 03: Mental Health Well Being in the UK 00:19:00 Assessment Mock 1 Assessment Mock 1 - Mental Health Nurse 00:10:00 UK Mental Health Legislation Module 04: UK Mental Health Legislation 00:18:00 Common Mental Health Problems in the UK Module 05: Common Mental Health Problems in the UK 00:17:00 Models of Care Delivery in Mental Health Nursing Module 06: Models of Care Delivery in Mental Health Nursing 00:19:00 Assessment Mock 2 Assessment Mock 2 - Mental Health Nurse 00:10:00 Types of Therapy and Treatment Approaches Module 07: Types of Therapy and Treatment Approaches 00:20:00 Therapeutic Relationship Facets of Mental Health Nursing Module 08: Therapeutic Relationship Facets of Mental Health Nursing 00:19:00 The 10 Essential Shared Capabilities Module 09: The 10 Essential Shared Capabilities 00:17:00 Assessment Mock 3 Assessment Mock 3 - Mental Health Nurse 00:10:00 Child Adolescent Mental Health Module 10: Child Adolescent Mental Health 00:19:00 Managing Workplace-Related Stress Module 11: Managing Workplace-Related Stress 00:18:00 Mental Health Nursing as a Career Choice Module 12: Mental Health Nursing as a Career Choice 00:17:00 The Mental Health Nursing Core Competence and Career Framework Module 13: The Mental Health Nursing Core Competence and Career Framework 00:17:00 Assessment Mock 4 Assessment Mock 4 - Mental Health Nurse 00:10:00 Learning Disability and Mental Health Module 02: Learning Disability and Mental Health 00:10:00 Causes of Learning Disability Module 03: Causes of Learning Disability 00:14:00 Legal Framework on Learning Disability Module 04: Legal Framework on Learning Disability 00:21:00 Challenging Behaviour of Adults with Learning Disabilities Module 05: Challenging Behaviour of Adults with Learning Disabilities 00:11:00 Assessment Mock 5 Assessment Mock-1-Learning Disability Nurse 00:10:00 Protecting People with Learning Disabilities Module 06: Protecting People with Learning Disabilities 00:00:00 Assessment and Diagnosis of Learning Disability Module 07: Assessment and Diagnosis of Learning Disability 00:19:00 Learning Disability Nursing Module 08: Learning Disability Nursing 00:09:00 Different Approaches to therapy Module 09: Different Approaches to therapy 00:18:00 Physical Health Issues with Down's Syndrome Module 10: Physical Health Issues with Down's Syndrome 00:15:00 Assessment Mock 6 Assessment Mock-2-Learning Disability Nurse 00:10:00 Mental Health Issues and Epilepsy Module 11: Mental Health Issues and Epilepsy 00:18:00 Access to Health Care Module 12: Access to Health Care 00:12:00 Role of the Learning Disability Nurse Module 13: Role of the Learning Disability Nurse 00:10:00 Professional and Legal Issues Module 14: Professional and Legal Issues 00:19:00 The Future of Learning Disability Nursing Module 15: The Future of Learning Disability Nursing 00:10:00 Assessment Mock 7 Assessment Mock-3-Learning Disability Nurse 00:10:00 Conclusion Conclusion 00:04:00 Final Assessment Assessment - Master in Learning Disability Nursing with Mental Health Course Online 00:10:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00