Just a girl in Tech

 The day we have all been waiting for is here!  The authors of  An Introduction to Statistical Learning with Applications in R   have finally launched the Python version of the book.   I am a big fan of this material, as well as the FREE online course made available by the authors (you can find it in here ). Honestly, there is no better introduction to Machine Learning with such a solid footing in statistics as this one.  The book contained exercises and examples in R, and now they just released a Python version of it!!! Chapter 10, on Deep Learning, was actually slightly changed to use PyTorch instead of Tensorflow (as it was done in the previous R version).  When I was studying with this book, I implemented a Tensorflow Python version of the labs and exercises they made available in R. If you are curious and wants to check the Tensorflow Python version of the Deep Learning chapter you can find it in my github .

New Data Science enthusiasts usually wonder what are the what are the best resources to best master this area. I am a huge fan of online courses (specially if they are free 😆) and decided to share my top 5 favorite ones. All courses below should have their main content available for free, so you can learn Machine Learning without investing too much! Statistical Learning             This course from Stanford University, taught by  Trevor Hastie and  Robert Tibshirani is an absolutely  amazing introduction to Machine Learning .  You might have heard about Prof. Tibishirani for being responsible for developing the Lasso method.  The classes are a great mix of practical intuition and theoretical concepts. Besides the Professors are funny and adorable (if you don't mind me saying).  Applied Machine Learning in Python           Here we have a much more practical introduction to Machine Learning an...