320 Linear courses delivered Online

Learn complete hands-on Regression analysis for practical Statistical modelling and Machine Learning in R

Go from Beginner to Super Advance Level in Machine Learning Algorithms using Python and Mathematical Insights

This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open-source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course includes hands-on activities for each topic area.

This video course gives you an insight into applied data science concepts using Python. With the help of interesting activities and hands-on coding exercises, you'll learn about data science, extended data analysis, linear and logistic regression, data visualization, k-means clustering, and decision trees.

Learn to build highly sophisticated deep learning and Computer Vision applications with PyTorch

This course covers Python for data science and machine learning in detail and is for a beginner in Python. You will also learn about core concepts of data science, exploratory data analysis, statistical methods, role of data, challenges of bias, variance and overfitting, model evaluation techniques, model optimization using hyperparameter tuning, grid search cross-validation techniques, and more.

Overview Statistical Concepts and Application with R Course is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Statistical Concepts and Application with R Course and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills. Consisting of several modules, the course teaches you everything you need to succeed in this profession. The course can be studied part-time. You can become accredited within 05 Hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website. Why Choose Teachers Training Some of our website features are: This is a dedicated website for teaching 24/7 tutor support Interactive Content Affordable price Courses accredited by the UK's top awarding bodies 100% online Flexible deadline Entry Requirements No formal entry requirements. You need to have: Passion for learning A good understanding of the English language Be motivated and hard-working Over the age of 16. Certification CPD Certification from The Teachers Training Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish. You can get your digital certificate (PDF) for £4.99 only Hard copy certificates are also available, and you can get one for only £10.99 You can get both PDF and Hard copy certificates for just £12.99! The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs. Introduction to the course Introduction 00:03:00 Single Linear Regression Install R, RStudio and Basic Functionality 00:08:00 Basics of Linear Regression 00:03:00 Basics of Linear Regression Ctnd 00:03:00 Linear Regression Analysis 00:09:00 Linear Relationships 00:09:00 Line of Best Fit, SSE and MSE 00:05:00 Linear Regression Analysis Ctnd 00:02:00 Regression Results and Interpretation 00:10:00 Predicting Future Profits 00:13:00 Statistical Validity Tests 00:09:00 Statistical Validity Discussion 00:07:00 Single Linear Regression 00:06:00 Multiple Linear Regression Single Linear Regression 00:06:00 Importing the data 00:04:00 Correlation Matrix and MLR 00:08:00 MLR Results and ANOVA 00:07:00 The Best Model? 00:05:00 Interaction Terms and Validity Testing 00:18:00 ANOVA and Predictions 00:18:00 Non-linear Regression Non-linear Regression (and Recap) 00:07:00 Logistic Regression Overview 00:22:00 Logistic Regression: Odds, Logs and Poisson 00:13:00 Logistic Regression: Fitting the Models in R 00:24:00 Optimization Theory and Differential Calculus Differential Calculus - Finding the Maximum and the Minimum 00:15:00 Differential Calculus: One Unknown Input 00:08:00 Analysis in R: One Unknown Input Differential Calculus 00:29:00 Differential Calculus - Two Unknown Inputs 00:07:00 Analysis in R: Two Unknown Inputs Differential Calculus 00:44:00 Downloadable Resources Resource - Statistical Concepts and Application with R 00:00:00

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

This is an introductory course on machine learning. The course covers a wide range of topics, from handling a dataset to model delivery. Some prior training in Python programming and basic calculus knowledge will help you get the best out of this course.

Our Aim Is Your Satisfaction! Offer Ends Soon; Hurry Up!! Are you looking to improve your current abilities or make a career move? Our unique Statistical Concepts in R course might help you get there! Expand your expertise with high-quality training - study the Statistical Concepts in R course and get an expertly designed, great-value training experience. Learn from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career through the Statistical Concepts in R online training course. The Statistical Concepts in R course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. Upon successful completion of the Statistical Concepts in R course, an instant e-certificate will be exhibited in your profile that you can order as proof of your skills and knowledge. Add these amazing new skills to your resume and boost your employability by simply enrolling in this course. This Statistical Concepts in R training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence! Why Prefer Us? Opportunity to earn a certificate accredited by CPDQS. Get a free student ID card! (£10 postal charge will be applicable for international delivery) Innovative and Engaging Content. Free Assessments 24/7 Tutor Support. Take a step toward a brighter future! *** Course Curriculum *** Module 01: Introduction to the Course Introduction Module 02: Simple Linear Regression Install R, RStudio and Basic Functionality Basics of Linear Regression Basics of Linear Regression continued Module 03: Linear Regression Analysis Linear Relationships Line of Best Fit, SSE and MSE Linear Regression Analysis Continued Regression Results and Interpretation Predicting Future Profits Statistical Validity Tests Statistical Validity Discussion Module 04: Multiple Linear Regression Multiple Linear Regression Importing the data Correlation Matrix and MLR MLR Results and ANOVA The Best Model? Interaction Terms and Validity Testing ANOVA and Predictions Module 05: Non-linear Regression Non-linear Regression (and Recap) Logistic Regression Overview Logistic Regression: Odds, Logs and Poisson Logistic Regression: Fitting the Models in R Assessment Process Your skills and knowledge will be tested with an automated multiple-choice assessment. You will then receive instant results to let you know if you have successfully passed the Statistical Concepts in R course. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this Statistical Concepts in R course. This course is open to everybody. Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this course, you are to start your career or begin the next phase of your career.