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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

The 30 Day Yoga Challenge and Detox Diet Transformation System is designed to promote physical wellness and weight loss, emotional wellness, and spiritual wellness. During this in depth training, you will learn how to create miracles, healing and happiness in your own life. You'll learn how to use yoga to transform your physical, spiritual and emotional well-being. This course is designed to help you create positive health habits that will dramatically improve the quality of your life on all levels. Whatever you may be dealing with can be healed, transformed and you can break through to the next level. Begin by following this comprehensive system. You will also learn the amazing Shakira Yoga. The rest of the part trains you about Detox diet including the knowledge about anti-ageing raw foods diet, and more. What Will I Learn? In 30 days you will learn basics, fundamentals as well as intermediate through advanced yoga, meditation and cleansing dietary practices through video, audio and ebooks Requirements Physical Requirements: Yoga mat, rug or soft surface Suggested: Yoga strap, block and stability ball + some shopping for healthy ingredients for the diet plan + green smoothie cleanse Who is the target audience? This course is created for women and men ages 16 through 60 with all levels of physical ability All levels of ability with videos and material for beginners, intermediate and up to advanced level practices. Introduction and Course-Wide Materials Intro to this Course and Hello From Dashama FREE 00:05:00 READ THIS FIRST: Quick Start Success Guide. Ebooks and Written Material 01:00:00 Yoga Q&A 00:34:00 Diet Q&A 01:11:00 Meditations Read this First: Create a Daily Meditation Practice 00:05:00 Chakra Balancing Guided Meditation 00:09:00 Samadhi Meditation Devi Prayer 00:21:00 Yoga Nidra Meditation 00:13:00 Guided Meditation shifting your paradigm 00:17:00 Soul Healing Guided Meditation 01:08:00 Day 1 Day 1: Read This 00:05:00 Salute the Sun! Rise & Shine with Yoga 00:05:00 Grounding Yoga 00:19:00 Day 2 Day 2 Read This 00:05:00 How to Stengthen Weak Legs 00:07:00 Day 3 Day 3: Read This 00:05:00 Meditation For Beginners 00:06:00 Beginners Vinyasa Sun Salute B 00:06:00 Day 4 Day 4: Read This 00:05:00 Yoga for Hips & Lower Back- ALL Levels 00:06:00 Beginners Shoulders Mat Vinyasa 00:03:00 Day 5 Day 5: Read This 00:05:00 Fire Practice - Vigorous Vinyasa 01:22:00 Day 6 Day 6: Read This 00:05:00 Miracle Manifestation Yoga Life in Balance 00:05:00 Day 7 Day 7: Read This 00:05:00 Intermediate Surya Namaskar Variation 00:10:00 Day 8 Day 8: Read This 00:05:00 Yoga for Hips & Inner Thighs 00:09:00 Day 9 Day 9: Read This 00:05:00 Day 10 Day 10: Read This 00:05:00 Balance Yoga Sequence- Level 2/3 00:05:00 Shakira Yoga! Hips Don't Lie. All levels 00:06:00 Day 11 Day 11: Read This 00:05:00 Wild Thing Yoga Sequence 1 week agoMore 00:04:00 Day 12 Day 12: Read This 00:05:00 6 Pack Yoga Abs part 1 00:04:00 Day 13 Day 13: Read This 00:05:00 Back Bend Bridge Leg Sequence 00:08:00 Day 14 Day 14: Read This 00:05:00 Mantras and the Power of Om 00:04:00 6 Pack Yoga Abs Part 2 00:03:00 Day 15 Day 15: Read This 00:05:00 Sixth Chakra Practice Eyes Closed Yoga 01:11:00 Day 16 Day 16: Read This 00:05:00 Bali Booty Yoga Practice 01:09:00 Day 17 Day 17: Read This 00:05:00 HANDSTAND Press Up- Yoga 00:05:00 Day 18 Day 18: Read This 00:05:00 Face Massage and Yoga 00:09:00 Day 19 Day 19: Read This 00:05:00 Standing Shoulders and Hamstrings Sequence 00:05:00 Day 20 Day 20: Read This 00:05:00 All Levels Prayer Twist Vinyasa 00:04:00 Anti-Aging Raw Food Snack- Weight Loss Diet with Dashama 1 week agoMore 00:05:00 Day 21 Day 21: Read This 00:05:00 Advanced Core Power Sequence- Vinyasa Yoga Level 23 00:07:00 Day 22 Day 22: Read This 00:05:00 Hips & Heart Sequence- Vinyasa Yoga 23 00:05:00 Day 23 Day 23: Read This 00:05:00 Advanced Standing Balance Bow Airplane Half Lotus 00:09:00 Yoga for Knee Injury 00:11:00 Day 24 Day 24: Read This 00:05:00 Yoga for a Shoulder Injury 00:27:00 Day 25 Day 25: Read This 00:05:00 Bed Yoga Stomach Massage 00:08:00 Day 26 Day 26: Read This 00:05:00 Beginners Balance Yoga Sequence 00:05:00 Day 27 Day 27: Read This 00:05:00 Bed Yoga Morning Energizer 00:08:00 Day 28 Day 28: Read This 00:05:00 Yoga for Lower Back Pain 00:15:00 Day 29 Day 29: Read This 00:05:00 Bliss Breath Pranayama 00:06:00 Day 30 Day 30: Read This 00:05:00 Bed Yoga Wide Leg Forward Bend 00:03:00 Next Steps Lower Back Strength and Stretch 00:06:00 Seated Forward Bends For tight hamstrings and lower back 00:08:00 Warrior Standing Power Sequence 00:06:00 Full Practice 80 minutes - All Levels 01:22:00 Dive Bomber Push Ups aka Swoop Through Push Ups 00:02:00 Yoga to Advance Your SPLITS 00:04:00 Full Wheel Drop Backs - Advanced Practice 00:03:00 Rise and Shine with Yoga Sun Salutations 00:05:00 Resources Resource - 30 Day Yoga Challenge and Detox Diet Transformation System 00:00:00 Course Certification

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

Discover the power of data science and machine learning with Python! Learn essential techniques, algorithms, and tools to analyze data, build predictive models, and unlock insights. Dive into hands-on projects, from data manipulation to advanced machine learning applications. Elevate your skills and unleash the potential of Python for data-driven decision-making.

The Yoga Training - 30 Days Challenge and Detox Diet Transformation is a wonderful learning opportunity for anyone who has a passion for this topic and is interested in enjoying a long career in the relevant industry. It's also for anyone who is already working in this field and looking to brush up their knowledge and boost their career with an acknowledged certificate. This Yoga Training - 30 Days Challenge and Detox Diet Transformation consists of several modules that take around 17 hours to complete. The course is accompanied by instructional videos, helpful illustrations, how-to instructions and advice. The course is offered online at a very affordable price. That gives you the ability to study at your own pace in the comfort of your home. You can access the modules from anywhere and from any device. 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 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 £119. 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 In order to ensure the Quality Licensing scheme endorsed and CPD acknowledged certificate, learners need to score at least 60% pass marks on the assessment process. After submitting assignments, our expert tutors will evaluate the assignments and give feedback based on the performance. After passing the assessment, one can apply for a certificate. Course Content Introduction and Course-Wide Materials Intro to this Course and Hello From Dashama 00:05:00 READ THIS FIRST: Quick Start Success Guide. Ebooks and Written Material 01:00:00 Yoga Q&A 00:34:00 Diet Q&A 01:11:00 Meditations Read this First: Create a Daily Meditation Practice 00:05:00 Chakra Balancing Guided Meditation 00:09:00 Samadhi Meditation Devi Prayer 00:21:00 Yoga Nidra Meditation 00:13:00 Guided Meditation shifting your paradigm 00:17:00 Soul Healing Guided Meditation 01:08:00 Day 1 Day 1: Read This 00:05:00 Salute the Sun! Rise & Shine with Yoga 00:05:00 Grounding Yoga 00:19:00 Day 2 Day 2 Read This 00:05:00 How to Stengthen Weak Legs 00:07:00 Day 3 Day 3: Read This 00:05:00 Meditation For Beginners 00:06:00 Beginners Vinyasa Sun Salute B 00:06:00 Day 4 Day 4: Read This 00:05:00 Yoga for Hips & Lower Back- ALL Levels 00:06:00 Beginners Shoulders Mat Vinyasa 00:03:00 Day 5 Day 5: Read This 00:05:00 Fire Practice - Vigorous Vinyasa 01:22:00 Day 6 Day 6: Read This 00:05:00 Miracle Manifestation Yoga Life in Balance 00:05:00 Day 7 Day 7: Read This 00:05:00 Intermediate Surya Namaskar Variation 00:10:00 Day 8 Day 8: Read This 00:05:00 Yoga for Hips & Inner Thighs 00:09:00 Day 9 Day 9: Read This 00:05:00 Day 10 Day 10: Read This 00:05:00 Balance Yoga Sequence- Level 2/3 00:05:00 Shakira Yoga! Hips Don't Lie. All levels 00:06:00 Day 11 Day 11: Read This 00:05:00 Wild Thing Yoga Sequence 1 week agoMore 00:04:00 Day 12 Day 12: Read This 00:05:00 6 Pack Yoga Abs part 1 00:04:00 Day 13 Day 13: Read This 00:05:00 Back Bend Bridge Leg Sequence 00:08:00 Day 14 Day 14: Read This 00:05:00 Mantras and the Power of Om 00:04:00 6 Pack Yoga Abs Part 2 00:03:00 Day 15 Day 15: Read This 00:05:00 Sixth Chakra Practice Eyes Closed Yoga 01:11:00 Day 16 Day 16: Read This 00:05:00 Bali Booty Yoga Practice 01:09:00 Day 17 Day 17: Read This 00:05:00 HANDSTAND Press Up- Yoga 00:05:00 Day 18 Day 18: Read This 00:05:00 Face Massage and Yoga 00:09:00 Day 19 Day 19: Read This 00:05:00 Standing Shoulders and Hamstrings Sequence 00:05:00 Day 20 Day 20: Read This 00:05:00 All Levels Prayer Twist Vinyasa 00:04:00 Anti-Aging Raw Food Snack- Weight Loss Diet with Dashama 1 week agoMore 00:05:00 Day 21 Day 21: Read This 00:05:00 Advanced Core Power Sequence- Vinyasa Yoga Level 23 00:07:00 Day 22 Day 22: Read This 00:05:00 Hips & Heart Sequence- Vinyasa Yoga 23 00:05:00 Day 23 Day 23: Read This 00:05:00 Advanced Standing Balance Bow Airplane Half Lotus 00:09:00 Yoga for Knee Injury 00:11:00 Day 24 Yoga for Knee Injury 00:11:00 Day 24: Read This 00:05:00 Yoga for a Shoulder Injury 00:27:00 Day 25 Day 25: Read This 00:05:00 Bed Yoga Stomach Massage 00:08:00 Day 26 Day 26: Read This 00:05:00 Beginners Balance Yoga Sequence 00:05:00 Day 27 Day 27: Read This 00:05:00 Bed Yoga Morning Energizer 00:08:00 Day 28 Day 28: Read This 00:05:00 Yoga for Lower Back Pain 00:15:00 Day 29 Day 29: Read This 00:05:00 Bliss Breath Pranayama 00:06:00 Day 30 Day 30: Read This 00:05:00 Bed Yoga Wide Leg Forward Bend 00:03:00 Next Steps Lower Back Strength and Stretch 00:06:00 Seated Forward Bends For tight hamstrings and lower back 00:08:00 Warrior Standing Power Sequence 00:06:00 Full Practice 80 minutes - All Levels 01:22:00 Dive Bomber Push Ups aka Swoop Through Push Ups 00:02:00 Yoga to Advance Your SPLITS 00:04:00 Full Wheel Drop Backs - Advanced Practice 00:03:00 Rise and Shine with Yoga Sun Salutations 00:05:00 Resources Resources - Yoga Training - 30 Days Challenge and Detox Diet Transformation 00:00:00 Assignment Assignment - Yoga Training - 30 Days Challenge And Detox Diet Transformation 3 weeks, 3 days Order Your Certificate Order your Certificate QLS 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

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