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Chef: Chef Training Online Are you passionate about culinary arts and dream of becoming a Professional Chef? Look no further! Introducing our comprehensive and highly acclaimed course Chef: Chef Training. The School of Healthcare understands that the journey to becoming a renowned chef begins with a strong foundation in culinary skills. Our Professional Chef: Chef Training course is specifically designed to equip aspiring chefs like you with the knowledge and expertise needed to excel in the dynamic world of gastronomy. Benefits of taking our Chef: Chef Training Course Comprehensive Curriculum: Our Chef: Chef Training course covers all aspects of culinary arts, providing you with a well-rounded education. From fundamental cooking techniques to advanced culinary concepts, we leave no stone unturned. Flexibility and Convenience: With our online platform, you can access the Chef: Chef Training course materials at your own pace and convenience. Whether you are a full-time working professional or a busy parent, our flexible schedule of this Chef: Chef Training course allows you to pursue your culinary dreams without compromising your other commitments. Upon completion of the Chef: Chef Training course, you will possess a diverse skill set that prepares you for a successful career in the culinary industry. Whether you aspire to work in a fine dining establishment, open your own restaurant, or become a private chef, our Chef: Chef Training course will provide you with the necessary tools to thrive. Don't let your culinary dreams simmer on the back burner. Enrol in our Chef: Chef Training online course today and take the first step towards a fulfilling career in the world of gastronomy! Main Course: Level 5 Professional Chef Course Free courses included with Level 5 Professional Chef: Chef Training Course: Along with Level 5 Professional Chef Course you will get free Level 2 Certificate in Hospitality Management Along with Level 5 Professional Chef Course you will get free Food Allergen Awareness Training Special Offers of this Level 5 Professional Chef: Chef Training Course: This Level 5 Professional Chef: Chef Training Course includes a FREE PDF Certificate. Lifetime access to this Level 5 Professional Chef: Chef Training Course Instant access to this Level 5 Professional Chef: Chef Training Course 24/7 Support Available to this Level 5 Professional Chef: Chef Training Course Chef: Chef Training Online With the help of this thorough Level 5 Professional Chef: Professional Chef Course, you will learn the essential ideas and their practical implementations. You also learn about the ethical aspects of transformational educational experiences in the Level 5 Professional Chef: Professional Chef Course. In this Level 5 Professional Chef: Professional Chef Course, all the fundamental knife skills and food preservation and maintenance techniques are covered. Your ability to manage foreign food will improve by our specialised Level 5 Professional Chef: Professional Chef Course. After completing the Level 5 Professional Chef: Professional Chef Course, you will be able to create menus, develop recipes, and maintain the cooking area's sanitary procedure. Who is this course for? Chef: Chef Training Online This Chef: Chef Training Course is Open to Everyone. Requirements Chef: Chef Training Online To enrol in this Chef: Chef Training Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Chef: Chef Training Course. Be energetic and self-motivated to complete our Chef: Chef Training Course. Basic computer Skill is required to complete our Chef: Chef Training Course. If you want to enrol in our Chef: Chef Training Course, you must be at least 15 years old. Career path Chef: Chef Training Online After completing this Chef: Chef Training course, you may able to pursue a variety of promising career opportunities, such as: Culinary education, apprenticeship, executive chef, restaurant owner, private chef, culinary instructor, food consultant, cookbook author, TV personality. Questions and answers Currently there are no Q&As for this course. Be the first to ask a question.

Get involved in a learning adventure, mastering R from foundational basics to advanced techniques. This course is a gateway to the realm of data science. Explore statistical machine learning models and intricacies of deep learning and create interactive Shiny apps. Unleash the power of R and elevate your proficiency in data-driven decision-making.

Overview This Life Coach Masterclass course will unlock your full potential and will show you how to excel in a career in Life Coach Masterclass. So upskill now and reach your full potential. Everything you need to get started in Life Coach Masterclass is available in this course. Learning and progressing are the hallmarks of personal development. This Life Coach Masterclass will quickly teach you the must-have skills needed to start in the relevant industry. In This Life Coach Masterclass Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Life Coach Masterclass skills to help you advance your career. Acquire a comprehensive understanding of various Life Coach Masterclass topics and tips from industry experts. Learn in-demand Life Coach Masterclass skills that are in high demand among UK employers, which will help you to kickstart your career. This Life Coach Masterclass course covers everything you must know to stand against the tough competition in the Life Coach Masterclass field.  The future is truly yours to seize with this Life Coach Masterclass. Enrol today and complete the course to achieve a Life Coach Masterclass certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the Life Coach Masterclass course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the Life Coach Masterclass course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the Life Coach Masterclass course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Life Coach Masterclass is suitable for anyone aspiring to start a career in Life Coach Masterclass; even if you are new to this and have no prior knowledge on Life Coach Masterclass, this course is going to be very easy for you to understand.  And if you are already working in the Life Coach Masterclass field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this Life Coach Masterclass course is a win-win for you in all aspects.  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 This Life Coach Masterclass course has no prerequisite.  You don't need any educational qualification or experience to enrol in the Life Coach Masterclass 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 Life Coach Masterclass course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Introduction What You Will Learn 00:06:00 Get To Know Your Instructor 00:02:00 PART 1: LIFE COACHING CERTIFICATION What Is Life Coaching 00:05:00 The Benefits Of Becoming A Life Coach 00:04:00 The Difference Between Coaching, Therapy, Mentoring & Training 00:03:00 The Responsibilities Of A Life Coach 00:03:00 Coaching Fundamentals Coaching Fundamentals Overview 00:02:00 Listening Introduction 00:02:00 The 3 Kinds Of Listening As A Coach 00:05:00 Your Listening Template 00:11:00 Questioning Introduction 00:01:00 Questioning & Coaching 00:03:00 How Coaching Questions Are Different From Normal Questions 00:02:00 The Different Types Of Coaching Questions 00:12:00 Questions Summary 00:03:00 Building Trust Introduction 00:01:00 The Trust Checklist Exercise 00:03:00 How To Build Trust As A Coach 00:08:00 More Trust Building Strategies 00:05:00 Understanding Personalities Understanding Personalities Overview 00:03:00 Big Five Personality Model 00:02:00 Myers Briggs Personality Model 00:04:00 Your Personality Model 00:09:00 How To Bring Out Your Strengths With This Model 00:10:00 Coaching Models Explained Coaching Models Introduction 00:02:00 GROW Model Explained 00:05:00 STEPPPA Model Explained 00:08:00 FUEL Model Explained 00:03:00 CLEAR Model Explained 00:04:00 Why We Will Use The GROW Model 00:01:00 Coaching Step 1: Goal Setting Step 1 Introduction 00:03:00 Why Defining Your Values Is Important 00:03:00 How To Define Your Personal Values 00:06:00 What Does Your Ideal Life Look Like? 00:04:00 The 4 Biggest Goal Setting Mistakes To Avoid 00:06:00 Stretch Goals Explained 00:03:00 Why You Should Start With Long Term Goals 00:05:00 Setting Your First Long Term Goal 00:06:00 Turning Long Term Goals Into Short Term Goals 00:05:00 Next Steps 00:01:00 Coaching Step 2: Reality Step 2 Introduction 00:01:00 Status Quo Explained 00:06:00 Wheel Of Life Excercise Explained 00:06:00 Big Rocks Exercise Explained 00:05:00 Coaching Example Step 2 00:05:00 Coaching Step 3: Options & Obstacles Step 3 Introduction 00:01:00 How To Brainstorm With Your Client(s) 00:05:00 How To Evaluate Your Brainstorming Ideas 00:05:00 'Spheres Of Influence' Excerise Explained 00:03:00 'Not To Do List' Exercise Explained 00:04:00 Coaching Example Step 3 00:07:00 Coaching Step 4: Will & Action Planning Step 4 Introduction 00:01:00 The 80/20 Rule Applied To Coaching 00:04:00 How To Design An Action Plan 00:03:00 Coaching Example Step 4 00:05:00 GROW Model Recap 00:03:00 How To Structure Your Coaching Sessions Structuring Your Sessions Introduction 00:01:00 How To Define Your Coaching Ground Rules 00:03:00 How Much Should You Charge 00:05:00 The Pre Coaching Call 00:03:00 Your First Coaching Session 00:03:00 Progress Evaluation Sessions 00:05:00 My Recommended Coaching Timeline 00:03:00 Client Coach Relationship Client Coach Relationship Intro 00:01:00 What Clients Expect From Their Coaches 00:04:00 Why Clients Choose One Coach Over Another 00:02:00 Client Coach Boundaries 00:03:00 How To Retain Clients Long Term 00:05:00 Advanced Coaching Strategies Advanced Coaching Strategies Introduction 00:01:00 Reframing Explained 00:07:00 Managing Emotional States 00:07:00 Understanding Representational Systems 00:08:00 Personal SWOT Analysis 00:06:00 Johari Window - Developing Self Awareness 00:05:00 Giving Good Feedback As A Coach 00:05:00 PART 2: HOLISTIC HEALTH COACHING CERTIFICATION Part 2 Introduction 00:03:00 What It Means To Be Healthy 00:04:00 What Does A Health Coach Do? 00:03:00 How Can You Combine Life Coaching & Health Coaching 00:02:00 Diet & Nutrition Fundamentals Diet Introduction 00:01:00 Your Health & Diet: How They Are Linked 00:04:00 The Consequences Of Following A Bad Diet 00:04:00 How To Eat For Longevity 00:02:00 What Are Calories? Explained 00:04:00 The Relationship Between Bodyweight And Health 00:05:00 Calories & Bodyweight In A Healthy Diet 00:02:00 The Surprising Results Of The Twinkie Diet 00:02:00 The Relationship Between Weight Loss And Health 00:03:00 Figuring Out How Many Daily Calories You Need 00:02:00 Calculating Your Total Daily Calories 00:03:00 Healthy Weight Ranges 00:02:00 The Best Foods For A Healthier Life 00:02:00 Best Protein Foods 00:01:00 Best Carbohydrate Foods 00:01:00 Best Dietary Fat Foods 00:01:00 How Much Of Each (Protein, Carbs, Fat)? 00:04:00 What About The Remaining Calories 00:01:00 Diet & Nutrition Coaching Client Assessment Introduction 00:01:00 Client Interview 00:04:00 How To Create A Diet Plan For Clients 00:09:00 Calculating BMI 00:03:00 Exercise Coaching: Cardio Cardio Introduction 00:01:00 The Different Types Of Cardio 00:02:00 Creating A Cardio Workout For A Client 00:04:00 How To Monitor Your Heart Rate During A Workout 00:02:00 Cardio vs Weigh Training - Which Is Better For Weight Loss 00:07:00 Exercise Coaching: Resistance Training Weight Training Introduction 00:01:00 Muscle Building Formula 00:07:00 The Science Behind Muscle Growth 00:04:00 Weight Training vs Bodyweight Training 00:02:00 How To Create A Beginner Workout Plan 00:09:00 5 Most Important Aspects Of Lifting Form 00:03:00 Progressive Overload 00:03:00 Hormone Health Explained Hormones Introduction 00:02:00 The 3 Types Of Hormones 00:03:00 The Endocrine System Explained 00:04:00 Hormones & Heart Disease 00:04:00 Anabolic Steroids: Why They Are So Dangerous 00:04:00 Most Important Hormones Overview 00:01:00 Insulin 00:04:00 Glucagon 00:02:00 Adrenaline 00:03:00 Cortisol 00:04:00 Ghrelin 00:02:00 Leptin 00:03:00 Thyroid Hormones 00:02:00 Estrogen 00:03:00 Growth Hormone 00:01:00 Testosterone 00:03:00 Supplements How To Build Your Own Supplement Stack 00:09:00 Top 3 Beginner Supplements For Muscle Growth 00:04:00 The Best Supplements To Boost Immunity 00:04:00 The Best Supplements For Vegans & Vegetarians 00:02:00 The Best Supplements For Joint & Bone Health 00:02:00 The Best Supplements For Fat Loss 00:04:00 Health & Fitness Motivation Health & Fitness Motivation Introduction 00:02:00 How To Get Out Of A Workout Rut 00:09:00 Health & Fitness FAQ Answered What Is Nutrient Density 00:04:00 Is Brown Sugar Better Than White Sugar 00:03:00 What Should You Train On Your First Day At The Gym? 00:07:00 Are Microwaves Harmful? 00:05:00 Fresh vs Frozen Food: Which Is Healthier 00:04:00 PART 3: WELLNESS COACHING CERTIFICATION Part 3 Introdudction 00:02:00 Stress Management The Difference Between Stress & Anxiety 00:03:00 Short vs Long Term Stress 00:02:00 The Effects Of Stress & Anxiety On Your Body 00:05:00 Proven Stress Management Strategies & Techniques 00:03:00 The Benefits Of Calm Breathing 00:03:00 Breathing Exercise #1 - Three Part Breath 00:02:00 Breathing Exercise #2 - Bellows Breath 00:02:00 Progressive Muscle Relaxation 00:03:00 Complete PMR Routine 00:07:00 Sleep Sleeping For A Longer Life 00:04:00 Tips To Fall Asleep Faster 00:03:00 Supplements For Improved Sleep 00:02:00 Emotional Self Care What Is Emotional Self Care 00:05:00 How To Accept Yourself 00:03:00 Taming Your Inner Critic 00:06:00 Getting A Different Perspecitive 00:04:00 Acknowledging Your Qualities 00:03:00 Getting Rid Of Time Consuming Commitments 00:06:00 How To Say 'No' To Others 00:05:00 Resources Resources - Life Coach Training - Guideline For The Startup 00:00:00

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

Phlebotomy: Phlebotomy Online Training Expose Your Career in Healthcare, our unique Phlebotomy: Phlebotomy course, is now available! Do you want to start a career in the expanding healthcare sector as a phlebotomy specialist? Do you have a burning desire to make a real difference in the world through phlebotomy? Look nowhere else! Our thorough Phlebotomy: Phlebotomy course is intended to provide you the knowledge and abilities you need to develop into a proficient phlebotomist. The phlebotomy course is the best option for students who want the flexibility to study when and how they want. To educate you everything you need to know about the field of phlebotomy, a professional development team created a Phlebotomy course. The Phlebotomy course will give you a thorough overview of the Phlebotomy: Phlebotomy industry as well as the knowledge and abilities needed to succeed as a phlebotomist. From the Phlebotomy: Phlebotomy course, you will learn a number of practical skills. Such as how to use venipuncture equipment, accurately insert a needle, discard used needles to prevent cross-contamination, record findings, and analyse blood samples. This Phlebotomy: Phlebotomy course also covers anatomy and physiology of veins as well as the procedures to be used for venipuncture. The Phlebotomy: Phlebotomy course is created to allow the learner to acquire the necessary abilities to properly perform venipuncture techniques ranging from basic to advanced while minimising preanalytical mistakes. Don't miss out on this incredible opportunity to launch your career in the healthcare industry as a Phlebotomy: Phlebotomy expert! Join up right away for the Phlebotomy course to realise your full potential! Main Course: Level 3 Phlebotomist Training Free Courses are including with this Phlebotomist: Phlebotomist Course Along with The Phlebotomist Course, We Offer a free Medical Secretary & Receptionist Course Along with The Phlebotomist Course, We Offer a free Medical Terminology Course Special Offers of this Phlebotomy: Phlebotomy Course This Phlebotomy: Phlebotomy Course includes a FREE PDF Certificate. Lifetime access to this Phlebotomy: Phlebotomy Course Instant access to this Phlebotomy: Phlebotomy Course Get FREE Tutor Support to this Phlebotomy: Phlebotomy Course Phlebotomy: Phlebotomy Online Training The professionally designed Phlebotomy: Phlebotomy Training course will teach you everything you need to know about the field of phlebotomy. In-depth information about the phlebotomy field as well as the knowledge and abilities needed to succeed as a phlebotomist will be given to you in the Phlebotomy: Phlebotomy Training course. Phlebotomy: Phlebotomy Online Training Everyone may enrol in the Phlebotomy: Phlebotomy course. Individuals who are employed in the healthcare industry, nurses, medical assistants, and laboratory techs, pre-medicine students and medical students are the main target of this Phlebotomy course. Requirements Phlebotomist: Phlebotomy Online Training To enrol in this Phlebotomy: Phlebotomy Course, students must fulfil the following requirements. To join in our Phlebotomy: Phlebotomy Course, you must have a strong command of the English language. To successfully complete our Phlebotomy: Phlebotomy Course, you must be vivacious and self driven. To complete our Phlebotomy: Phlebotomy Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Phlebotomy: Phlebotomy Course. Career path Phlebotomist: Phlebotomy Online Training You will be able to find a well-paying career if you complete the Phlebotomy: Phlebotomy Course. Following completion of the Phlebotomy: Phlebotomy course, you can pursue the following career choices, each with an estimated annual salary: Phlebotomist: £21,363 Healthcare Assistant: £23,526 Lab Technician: £21,737 Phlebotomy Technician: £26,170

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