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2015

Public material for CS109

2016-datascience-labs

Labs for Introduction to Data Science @ U of U

allstate-insurance-predicting-claim-severity-xgboost-ml

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

allstate_capstone

Allstate Kaggle Competition ML Capstone Project

alpha_vantage

A python wrapper for Alpha Vantage API for financial data.

anatomyofmatplotlib

Anatomy of Matplotlib -- tutorial developed for the SciPy conference

coding-interview-university

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

datacamp-community-tutorials

Tutorials for DataCamp (www.datacamp.com)

datascienceresources

Open Source Data Science Resources.

deeptriangle

DeepTriangle: A Deep Learning Approach to Loss Reserving

face_recognition

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

fasttext

Library for fast text representation and classification.

imbalanced-learn

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

machinelearningclassification

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

math-of-machine-learning-course-by-siraj

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

online_bootcamp_project

Online Bootcamp Student Project Presentation

pycookbook

python-quick-syntax-reference

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

python3-in-one-pic

Learn python3 in one picture.

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

scipy-2017-sklearn

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

stat-learning

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

statistics-for-data-scientists

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

statsintro_python

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

statswithjuliabook

thinkstats2

Text and supporting code for Think Stats, 2nd Edition

usf-talk-nov-3-2017

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

xgboost

https://github.com/dmlc/xgboost

xgboost_explainer

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