Regression Analysis In R For Data Science: From Zero To Hero

Learn Complete Hands-On Regression Analysis in R for Machine Learning, Statistical Analysis, Data Science, Deep Learning

What you'll learn
Your comprehensive guide to Regression Analysis & supervised machine learning using R-programming language
Graphically representing data in R before and after analysis
It covers the theory and applications of supervised machine learning with the focus on regression analysis using the R-programming language in R-Studio
Implement Ordinary Least Square (or simple linear) regression, Random FOrest Regression, Decision Trees, Logistic regression and others using R
Perform model's variable selection and assess regression model's accuracy
Build machine learning based regression models and test their performance in R
Compare different different machine learning models for regression tasks in R
Learn how to select the best statistical & machine learning model for your task
Learn when and how machine learning models should be applied
Carry out coding exercises & your independent project assignment

Requirements
Availabiliy computer and internet & strong interest in the topic

Description
Master Regression Analysis in R for Machine Learning & Data ScienceWelcome to this comprehensive course on Regression Analysis for Machine Learning & Data Science in R. This course is designed to be your hands-on guide to understanding, applying, and mastering supervised machine learning techniques, with a primary focus on regression analysis using the R-programming language.Course Highlights:Theory and Practical Applications:This course stands out by offering more than just guided demonstrations of R-scripts. It dives deep into the theoretical background, providing you with a comprehensive understanding of regression analysis. You'll not only apply machine learning models but also gain the knowledge required to fully comprehend and utilize regression analysis techniques such as Linear Regression, Random Forest, K-Nearest Neighbors (KNN), and more using R. We will cover various R packages, including the caret package, to enrich your skill set.Comprehensive Coverage:This course covers all essential aspects of practical data science related to Machine Learning, specifically focusing on regression analysis. By enrolling in this course, you'll save both time and money, as you won't need to invest in expensive materials related to R-based Data Science and Machine Learning.Course Outline:The course spans 8 sections, ensuring comprehensive coverage of both theory and practice. You'll:Fully understand the basics of Regression Analysis, including parametric and non-parametric methods.Apply parametric and non-parametric regression techniques in R.Learn to accurately implement regression models and assess them in R.Discover how to select the most suitable statistical and machine learning models for your specific tasks.Engage in coding exercises and an independent project assignment.Acquire fundamental R-programming skills.Gain access to all scripts used throughout the course.No Prior Knowledge Required:This course is tailored for individuals with no prior knowledge of R, statistics, or machine learning. It starts with foundational concepts and gradually progresses to more complex topics.Practical Learning and Implementable Solutions:Unlike other training resources, each lecture aims to enhance your Regression modeling and Machine Learning skills through practical and easy-to-follow methods, providing you with solutions that you can readily apply.Ideal for Professionals:This course is ideal for professionals who need to incorporate cluster analysis, unsupervised machine learning, and R into their work.Hands-On Exercises:Practical exercises are a significant part of this course. You'll receive precise instructions and datasets to run Machine Learning algorithms using R tools.Join This Course Today:Unlock the potential of Regression Analysis in R and elevate your Machine Learning and Data Science skills. Enroll now to embark on your learning journey!

Who this course is for:
The course is ideal for professionals who need to use regression analysis & supervised machine learning in their field,Everyone who would like to learn Data Science Applications In The R & R Studio Environment,Everyone who would like to learn theory and implementation of Regression Analysis & Machine Learning On Real-World Data