Statistics and Machine Learning For Regression Modelling With R

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

This comprehensive program is designed for individuals seeking to master the art of regression modeling using the R programming language. From understanding foundational statistical concepts to implementing advanced machine learning algorithms, this course provides a robust foundation for predicting and understanding complex relationships within data.

What You Will Learn:

  1. Foundations of Regression Analysis:
    • Gain a deep understanding of regression analysis and its applications in statistical modeling.
    • Learn the principles of linear regression and its assumptions.
  2. Exploratory Data Analysis (EDA) with R:
    • Master the art of exploring and visualizing data using R.
    • Understand how to identify patterns, outliers, and relationships within datasets.
  3. Linear Regression in R:
    • Implement linear regression models in R for predicting and modeling linear relationships.
    • Explore techniques for model interpretation and evaluation.
  4. Multiple Regression and Variable Selection:
    • Extend regression modeling to multiple variables and understand the nuances of variable selection.
    • Learn how to build and interpret multiple regression models in R.
  5. Polynomial Regression and Nonlinear Models:
    • Explore the flexibility of regression by implementing polynomial regression models.
    • Understand how to model nonlinear relationships using advanced techniques.
  6. Machine Learning for Regression:
    • Dive into machine learning algorithms for regression, including decision trees, random forests, and support vector machines.
    • Learn how to implement and optimize these algorithms using R.
  7. Cross-Validation and Model Evaluation:
    • Understand the importance of cross-validation in model assessment.
    • Explore different metrics for evaluating regression models and ensuring robust performance.
  8. Time Series Regression:
    • Learn how to handle time series data and implement time series regression models in R.
    • Understand the unique challenges and considerations in time-dependent data.
  9. Advanced Topics and Applications:
    • Delve into advanced regression modeling topics, such as regularization techniques.
    • Explore real-world applications of regression modeling in various fields.

The instructors have a gift for breaking down complex statistical and machine learning concepts into digestible pieces. The course covers a wide range of topics, from traditional linear regression to advanced machine learning algorithms.


The instructors take you on a journey from the basics to advanced topics, providing clear explanations and practical examples. The emphasis on both statistical foundations and machine learning algorithms sets this course apart.


Your Instructor

Yoohoo Academy
Yoohoo Academy

Yoohoo Academy has taught 100,000+ students everything from Lift Style to Fitness Training, Cyber Security, to Ethical Hacking, Facebook Ads, to SEO, Email Marketing, to eCommerce, Business Investing, to Social Media Marketing, to Launching your own Business, Marketing/Ad Agency!

Yoohoo Academy is a Multination company that offers an ever growing range of high-quality online courses that teach using hands-on examples from experts in the field of study and tested research; all backed with high-quality, studio voiceover narrated videos! The emphasis is on teaching real life skills that are essential in today's world.

All Yoohoo Academy courses are taught by experts in their field who have a true passion for teaching and sharing their knowledge.

Frequently Asked Questions

When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

Get started now!