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Overview
Build 8+ Practical Projects and Master Machine Learning Regression Techniques Using Python, Scikit Learn and Keras What you'll learn: Master Python programming and Scikit learn as applied to machine learning regression Understand the underlying theory behind simple and multiple linear regression techniques Apply simple linear regression techniques to predict product sales volume and vehicle fuel economy Apply multiple linear regression to predict stock prices and Universities acceptance rate Cover the basics and underlying theory of polynomial regression Apply polynomial regression...
Syllabus
- INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]
- ANACONDA AND JUPYTER INSTALLATION
- SIMPLE LINEAR REGRESSION
- REGRESSION KEY PERFORMANCE INDICATORS
- POLYNOMIAL REGRESSION
- MULTIPLE LINEAR REGRESSION
- LOGISTIC REGRESSION
- APPLY ARTIFICIAL NEURAL NETWORKS TO PERFORM REGRESSION TASKS
- LASSO AND RIDGE REGRESSION
- Congratulations!! Don't forget your Prize :)
Instructor
Dr. Ryan Ahmed | 400K+ Students | Best-Selling Professor | 250K+ YouTube
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