A SciPy tutorial in which you'll learn the basics of linear algebra that you need for machine learning in Python, with a focus how to with NumPy.
Learn how to scrape data from the web, preprocess it and perform a basic exploratory data analysis with R
Discover how to create a data frame in R, change column and row names, access values, attach data frames, apply functions and much more.
This handy one-page reference presents the Python basics that you need to do data science
Recreate your own news trends feature in R, mining Pokémon GO data from Google News Trends and Yahoo Finance.
You can preprocess the heck out of your data but the proof is in the pudding: how well does your model then perform?
Discover whether centering and scaling help your model in a logistic regression setting.