Plain python implementations of basic machine learning algorithms

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Code to some visualizations of data that I found interesting and posted on twitter (@toeb18)

Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices

DSaPP police early intervention system: using machine learning to predict adverse incidents

Tools to help aggregate American Community Survey data to non-Census geographies

Mapping the 500 largest cities in the Contiguous United States (CONUS) using Python's Basemap toolkit

Extended Isolation Forest for Anomaly Detection

Practical Time-Series Analysis, published by Packt

Bokeh Plotting Backend for Pandas and GeoPandas

🤖⚡ 50 scikit-learn tips

PDF Command Line Tools binaries for Linux, Mac, Windows

Pandas Cookbook, published by Packt

In which I implement some applications of machine learning techniques.

Twitter to Health and Human Resources Influenza Correlation

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

Novel Coronavirus 2019 time series data on cases

Time Series Analysis with Python

Classification

Capstone Project: Pulled tweets from Twitter API to incorporate sentiment and population health into a predictive model of food deserts with an AUC of 0.88 and accuracy of 0.89. Built an interactiv…

A Binder-compatibible repo with a Dockerfile

Analysis of the RBI 2019 Baseball game

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

Code from the book Fighting Churn With Data

Streamlit — A faster way to build and share data apps.

Python for Finance (O'Reilly)

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Repository for Data Validation