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This course offers an introduction ... supervised learning models, including nonlinear regression, logistic regression, support vector machines, and deep neural networks. Students write their own ...

This course aims to provide an introduction to the quantitative analysis of data, blending classical statistical methods with recent advances in computational and machine learning ... The course will ...

An Introduction to Statistical Learning with Applications in R ... applying machine leanring methods covered in this course on some real data examples using R/Python (which accounts for 30% of the ...

The book “Introduction to Machine Learning with Python“ has made explanation on Machine Learning with Python from basics to the advanced level so as to assist beginners in building strong ...