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Embark on a culinary journey with our "Culinary Arts Adventure: Mastering the Kitchen" course, designed to address the latest culinary challenges in the UK. As the culinary landscape evolves, there's a growing demand for versatile chefs equipped with diverse skills. Our Culinary Arts Adventure: Mastering the Kitchen program not only tackles the professional chef training essentials but delves into niche areas such as vegan and vegetarian cooking, mastering plant-based techniques, and the art of crafting artisanal cheeses. We understand the need for culinary prowess, from French cooking delights to exploring the flavours of India, ensuring you master the global culinary spectrum. This Culinary Arts Adventure: Mastering the Kitchen Bundle Consists of the following Premium courses: Course 01: Professional Chef Training, Cooking, Kitchen & Restaurant Management with 20 Bonus Recipes Course 02: Vegan and Vegetarian Cooking Course 03: Mastering Plant-Based Cooking Techniques Course 04: French Cooking Delights: Mastering the Art of French Cuisine Course 05: Indian Cooking Mastery: Exploring the Flavours of India Course 06: Sourdough Breads & Pastries Mastery Course Course 07: Pastry Chef Training Course 08: American Cooking Mastery: Explore the Flavours of the USA Course 09: Cake Decorating Masterclass Course 10: Bread Making Course 11: Cheese Making Mastery: Crafting Delicious Artisanal Cheeses Course 12: Chinese Cooking Mastery: From Wok to Plate:Learn Authentic Cuisine Course 13: Italian Cooking Course Course 14: Artisan Baking Beginner Course - Pastry & Desserts Course 15: UK Cooking and Gastronomy Technician Course 16: Mushroom Growing Course Course 17: Basic Food Photography Course 18: Food Allergen, Food Safeguarding and Kitchen Management Course Course 19: Food Labelling Regulations Training Course 20: Food Safety and Pest Management 10 Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques- Course 01: Effective Communication Skills Diploma Course 02: Business Networking Skills Course 03: Influencing and Negotiation Skills Course 04: Delegation Skills Training Course 05: Time Management Course 06: Leadership Skills Training Course 07: Decision Making and Critical Thinking Online Course Course 08: Emotional Intelligence and Social Management Diploma Course 09: Assertiveness Skills Course 10: Touch Typing Complete Training Diploma Learning Outcomes: Upon completion of this Culinary Arts Adventure: Mastering the Kitchen bundle, you should be able to: Master diverse cooking techniques for global cuisines. Develop expertise in vegan, vegetarian, and plant-based cooking. Acquire advanced skills in pastry, cake decorating, and bread making. Cultivate knowledge in cheese and mushroom crafting. Understand the intricacies of food photography and labelling regulations. Demonstrate proficiency in kitchen management and food safety. Gain expertise in pastry chef training, master cooking, and refine your cake-decorating and bread-making skills. This Culinary Arts Adventure: Mastering the Kitchen course covers everything from the intricacies of Chinese cuisine to the heart-warming allure of Italian dishes. The learning experience extends beyond the kitchen, exploring mushroom cultivation, food photography, and crucial aspects of kitchen management. Our "Culinary Arts Adventure" guarantees a well-rounded culinary education, providing you with a passport to navigate the diverse world of cuisine. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Enthusiasts seeking a versatile culinary education. Individuals aspiring to master global cooking techniques. Culinary professionals aiming to expand their skill set. Home cooks eager to elevate their culinary expertise. Food enthusiasts with a passion for diverse cuisines. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Requirements To participate in this Culinary Arts Adventure: Mastering the Kitchen course, all you need is - A smart device A secure internet connection And a keen interest in Culinary Arts Adventure: Kitchen Career path Sous Chef - •30,000 to •35,000 per year. Pastry Chef - •25,000 to •30,000 per year. Food Photographer - •20,000 to •25,000 per year. Head Baker - •25,000 to •30,000 per year. Cheese Maker - •25,000 to •30,000 per year. Restaurant Manager - •25,000 to •30,000 per year. Certificates CPD Accredited Certificate Digital certificate - Included CPD Accredited e-Certificate - Free CPD Accredited Hardcopy Certificate - Free Enrolment Letter - Free Student ID Card - Free

In the ever-evolving realm of skincare and aesthetics, staying ahead is not just a choice but a necessity. Recent concerns over skincare issues in the UK have sparked a demand for professionals well-versed in the intricacies of clinical aesthetics. Our comprehensive course, "Clinical Aesthetics, Skincare, Makeup & Cosmetics," is your gateway to mastering the art and science of skincare and beauty. Dive into the transformative world of skin nutrition, makeup artistry, and hairstyling, acquiring skills that transcend trends. This Clinical Aesthetics, Skincare, Makeup & Cosmetics Bundle Consists of the following Premium courses: Course 01: Makeup Artist and Artistry Skin Nutrition Training Course 02: Updo Hairstyles for Women Course 03: Make-Up Artistry and Barbering Skill Development Course 04: Bridal Makeup Certification Online Course 05: Lip Shading & Retouching Course 06: Brow Lamination with Wax and Tint Course 07: Level 2 Eyelash and Eyebrow Tint Course 08: Indian Bridal Makeup Course 09: Bridal Hair Styling Course 10: Face Painting Artistry Course 11: Creating Organic Cosmetics: Formulation and Production Course 12: ANTI-AGEING & BLEMISH Care Mastery Course 13: Acne Treatments and Beauty Care Course 14: Skincare for All Course 15: Skincare and Disease Awareness Course 16: Facial Massage: Certificate In Skin Diseases & Facial Treatment Course 17: Eyebrow Microblading Treatment Course Course 18: Hair & Beard Barbering Tools and Techniques Course 19: Gel Manicure and Nail Technician Course 20: Personal Hygiene 10 Extraordinary career-oriented courses that will assist you in reimagining your thriving techniques- Course 01: Effective Communication Skills Diploma Course 02: Business Networking Skills Course 03: Influencing and Negotiation Skills Course 04: Delegation Skills Training Course 05: Time Management Course 06: Leadership Skills Training Course 07: Decision Making and Critical Thinking Online Course Course 08: Emotional Intelligence and Social Management Diploma Course 09: Assertiveness Skills Course 10: Touch Typing Complete Training Diploma Learning Outcomes: Upon completion of this Clinical Aesthetics, Skincare, Makeup & Cosmetics bundle, you should be able to: Master the art of updo hairstyles and makeup artistry, becoming a versatile beauty professional. Specialise in bridal makeup and hairstyling, catering to diverse cultural preferences. Acquire expertise in creating organic cosmetics, from formulation to production. Develop advanced skills in anti-ageing treatments and blemish care. Gain proficiency in eyebrow microblading and facial massage techniques. Become a skilled nail technician, offering gel manicures with finesse. Embark on a journey that covers everything from advanced makeup techniques and facial treatments to the production of organic cosmetics. Explore the nuances of eyebrow microblading, gel manicures, and anti-ageing strategies. Our course extends beyond beauty, delving into skincare for diverse skin types, disease awareness, and personalised hygiene. Be at the forefront of the industry by mastering not only the tools and techniques but also the understanding of skincare as a holistic science. Elevate your skills and future-proof your career with the knowledge that sets you apart in the competitive world of aesthetics. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring makeup artists seeking a diverse skill set in skincare and aesthetics. Hairstylists looking to expand their repertoire with updo techniques. Beauty enthusiasts interested in organic cosmetics formulation. Individuals aiming for expertise in anti-ageing and blemish care. Those fascinated by the intricate art of eyebrow microblading. Nail art enthusiasts aspiring to become skilled gel manicure technicians. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Requirements To participate in this Clinical Aesthetics, Skincare, Makeup & Cosmetics course, all you need is - A smart device A secure internet connection And a keen interest in Clinical Aesthetics, Skincare, Makeup & Cosmetics Career path Bridal Makeup Artist: •25,000 - •40,000 per annum Skincare Specialist: •20,000 - •35,000 per annum Organic Cosmetics Formulator: •30,000 - •45,000 per annum Anti-ageing Specialist: •25,000 - •40,000 per annum Eyebrow Microblading Artist: •20,000 - •35,000 per annum Certificates CPD Accredited Certificate Digital certificate - Included CPD Accredited e-Certificate - Free CPD Accredited Hardcopy Certificate - Free Enrolment Letter - Free Student ID Card - Free

Description Metaphysics Diploma  Metaphysics is the philosophical discipline that explores the fundamental principles of change and identity, being, causality, time and space, possibility, and necessity. It constitutes questions such as 'what is consciousness made up of?' and 'how are matter and mind related?'. 'metaphysics' combines two Ancient Greek terms that translate to 'after or among or behind the natural'. Areas of metaphysical inquiry include existence, things and their characteristics, time and space, possibility, and chain of events. Metaphysics is among the four philosophical branches apart from ethics, logic, and epistemology. The Metaphysics Diploma course allows one to learn about the philosophical connection among abstract elements such as time, space, being, and identity. The Metaphysics Diploma course starts with introducing the field of metaphysics to the learners. Before delving into further details about the discipline, the Metaphysics Diploma course explains its relation to physics. Metaphysics deals with the exploration of the characteristics of reality. The learners will form a deeper understanding of metaphysics through topics that deal with 'the framework of reality.' Thereby, the learners will get familiar with some central questions dealt with in metaphysics about existence, time and space, and identity. There is a lot to learn about cosmology in the Metaphysics Diploma course, from religions to astronomy to philosophy and a lot about the human mind, philosophy, and theories that aim to explain how the mind works with the body and the larger universe. The Metaphysics Diploma course also discusses free will, putting forth essential questions such as: 'Does free will exist?', 'Is the life of an individual pre-determined?', 'Does free choice exist?'. One can discover what answers different theories have put forth such intriguing questions. The learners will explore the connection between science and metaphysics, with questions involving their compatibility for interdisciplinary discourse. The Diploma course also examines the validity of metaphysics and the views of philosophers who support and oppose it. Besides exploring metaphysical questions, the course also examines the history of the philosophical discipline. The learners will explore the concepts of Western philosophy, including Plato, Aristotle, and Socrates, and the philosophical schools of modern times, including analytical philosophy and rationalism. The Metaphysics Diploma course also explores Eastern philosophy, such as classical Chinese, Indian, Buddhist, and African schools of thought. What you will learn   1:Introduction to metaphysics  2:Abstract objects  3:Possible worlds  4:Time  5:Substance  6:Things  7:Social metaphysics  8:Freedom  9:Identity and change  10:Metaphysics and its critics  Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

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Level 5 Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 5 CPD Courses | Lifetime Access

Give a compliment to your career and take it to the next level. This Skincare bundle will provide you with the essential knowledge to shine in your professional career. Whether you want to develop skills for your next job or elevate your skills for your next promotion, this Skincare bundle will help you stay ahead of the pack. Throughout the Skincare programme, it stresses how to improve your competency as a person in your chosen field while also outlining essential career insights in the relevant job sector. Along with this Skincare course, you will get 10 premium courses, an originalhardcopy, 11 PDF certificates (Main Course + Additional Courses) Student ID card as gifts. This Skincare Bundle Consists of the following Premium courses: Course 01: Beauty Skincare Course 02: Acne Treatments and Beauty Care Course 03: Anti-Aging Hacks Course 04: Basic Manicure and Pedicure Course 05: Beauty Therapist Level 3 Training Course Course 06: Makeup Artistry Course Course 07: Aging and Longevity Secrets Course 08: Complete Makeup Training for Lips Course 09: Indian Bridal Makeup Course 10: Online Nail Technician Diploma Course 11: Diet and Nutrition for Beauty Course 12: Personal Hygiene Course 13: First Aid Training Course 14: Complete Communication Skills Master Class for Life Enrol now in Skincare to advance your career, and use the premium study materials from Apex Learning. The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Skincare expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes. Course Curriculum : Course 01: Beauty Skincare Module 01: Skin Anatomy Module 02: Skin Nutrients Module 03: SkinCare for Different Skin Types Module 04: SkinCare for Different Ethnicities Module 05: Reducing Ageing Effects Module 06: Hair Removal Examined Module 07: Diagnosis of Skin Disease Module 08: Eczema Module 09: Keratinising and Papulosquamous Disorders Module 10: Skin Infections Module 11: Remedies for Acne-Prone Skin Module 12: Seasonal Skincare Module 13: Effect of the Sun and Its' Remedies Certificate: PDF Certificate: Free (Previously it was £6*11 = £66) Hard Copy Certificate: Free (For The Title Course: Previously it was £10) CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Skincare bundle. Requirements This Skincare course has been designed to be fully compatible with tablets and smartphones. Career path Having this expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included You will get the PDF Certificate for the title course (Beauty Skincare) absolutely Free! Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Beauty Skincare) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Overview This comprehensive course on Arabic Writing Course will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Arabic Writing Course comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Arabic Writing Course. It is available to all students, of all academic backgrounds. Requirements Our Arabic Writing Course 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 Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 1 sections • 14 lectures • 08:25:00 total length •Module 01: The Basic Arabic Letters: 00:34:00 •Module 02: The Signs and the Vowels: 00:17:00 •Module 03: The Letter Alef: 00:48:00 •Module 04: The Letter Baa: 01:01:00 •Module 05: The Letter Taa: 00:56:00 •Module 06: The Bound Taa: 00:16:00 •Module 07: The Letter Thaa: 01:03:00 •Module 08: The Letter Noon: 00:59:00 •Module 09: How to Write the Indian Numbers: 00:42:00 •Module 10: The Letter Seen: 00:12:00 •Module 11: The Letter Sheen: 00:11:00 •Module 12: The Letter Saad: 00:11:00 •Module 13: The Letter Daad: 00:11:00 •Module 14: The Similar Letters: 01:04:00

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Level 5 - Three QLS Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 10 CPD Courses | Lifetime Access

The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Complete Python Machine Learning & Data Science Fundamentals there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Complete Python Machine Learning & Data Science Fundamentals course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. 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 00:08:00 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 Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 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 00:07:00 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 - Python Machine Learning & Data Science Fundamentals 00:00:00