Python Regression Analysis: Statistics & Machine Learning Udemy course
Learn Complete Hands-On Regression Analysis for Practical Statistical Modelling and Machine Learning in Python
Regression analysis is one of the central aspects of both statistical and machine learning based analysis. This course will teach you regression analysis for both statistical data analysis and machine learning in Python in a practical hands-on manner. It explores the relevant concepts in a practical manner from basic to expert level.
This course can help you achieve better grades, give you new analysis tools for your academic career, implement your knowledge in a work setting & make business forecasting related decisions...All of this while exploring the wisdom of an Oxford and Cambridge educated researcher.
Most statistics and machine learning courses and books only touch upon the basic aspects of regression analysis. This does not teach the students about all the different regression analysis techniques they can apply to their own data in both academic and business setting, resulting in inaccurate modelling.
What you'll learn
- Harness The Power Of Anaconda/iPython For Practical Data Science
- Read In Data Into The Python Environment From Different Sources
- Implement Classical Statistical Regression Modelling Techniques Such As Linear Regression In Python
- Implement Machine Learning Based Regression Modelling Techniques Such As Random Forests & kNN For Predictive Modelling
- Neural Network & Deep Learning Based Regression
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