Cleaning Statcast Data
A 64-page case study of instruction on cleaning MLB Statcast data in python, including exploratory visual analysis, missing data imputation, and outlier theory.
Deep Learning in Python
Guides and projects on Neural Networks and Deep Learning in Python.
Unsupervised Learning
From image decomposition and dimension reduction to text processing and clustering, we cover the most powerful unsupervised learning algorithms in this variety of guides and projects.
Supervised Learning
This is the place to start if you want to learn the basics of Machine Leaning, from KNN to Logistic Regression.
Linear Modeling in R
Learn how to use ANOVA, Box-Cox transformations, and model assumption tests to model data.