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applied-ml

Curated papers, articles & videos on data science & machine learning applied in production, with results.

awesome-r-learning-resources

A curated collection of free resources to help deepen your understanding of the R programming language. Updated regularly. Contributions encouraged via a pull request (see contributing.md).

bash

Useful BASH commands with examples

bayesianinference

An attempt to understand Bayesian Inference

campaignplanner

Example code for Lesson on Response Campaign planning

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

credit-scoring

Credit scoring exercise

data-science

Introduction to Data Science

data-science-45min-intros

Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

data-visualization

datasets

A collection of datasets of ML problem solving

github-hackerstatistics

hello-world

First Repository to test

intro2stats

Introduction to Statistics using Python

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

mysql

Learnings of MySQL, SQL and Oracle

pandas

pandas-cookbook

Recipes for using Python's pandas library

pydata-book

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

python-textblob

recommendation-system

scikit-learn

scikit-learn: machine learning in Python

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

stat571

thinkstats2

Text and supporting code for Think Stats, 2nd Edition

weatherapi