A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

Public material for CS109

A complete computer science study plan to become a software engineer.

Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

Jupyter notebooks from the scikit-learn video series

DeepTriangle: A Deep Learning Approach to Loss Reserving

https://github.com/dmlc/xgboost

Anatomy of Matplotlib -- tutorial developed for the SciPy conference

Tutorials for DataCamp (www.datacamp.com)

A tool for analyzing feature importance of xgboost model. idea came from R version xgboostExplainer

The world's simplest facial recognition api for Python and the command line

This is a solution to a Kaggle competition on predicting claim severity for Allstate Insurance using the Extreme Gradient Boosting (XgBoost) algorithm in R

Notes and exercise attempts for "An Introduction to Statistical Learning"

Library for fast text representation and classification.

Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"

Talk given at USF on Anomaly Detection. Nov 3, 2017

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

Online Bootcamp Student Project Presentation

Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller

Text and supporting code for Think Stats, 2nd Edition

A python wrapper for Alpha Vantage API for financial data.

Learn python3 in one picture.

Open Source Data Science Resources.

Source code for 'The Python Quick Syntax Reference' by Gregory Walters

Allstate Kaggle Competition ML Capstone Project

Labs for Introduction to Data Science @ U of U

boilerplate code, scripts, modules, data for Introduction to Machine Learning with Python