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abm

analytic

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

angular.js

HTML enhanced for web apps

bad-data-guide

An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.

code_py

A collection of well-commented code snippets for data science

data-science-ipython-notebooks

Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deap

Distributed Evolutionary Algorithms in Python

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + data (without solution) and video link

deeppy

Deep learning in Python

deepsurv

DeepSurv is a deep learning approach to survival analysis.

docker-stacks

Opinionated stacks of ready-to-run Jupyter applications in Docker.

docplex-examples

These samples demonstrate how to use the DOcplex library to model and solve optimization problems.

docplexcloud-r-predict-accidents-sample

fastai

The fast.ai deep learning library, lessons, and tutorials

go

The Open Source Data Science Masters

hands-on-analysis-python

PyCon 2015

hyperparameter-tuning-with-hyperopt-in-python

This repository complements the article on hyperparameter tuning using the hyperopt package in Python at steventhornton.ca/Hyperparameter-Tuning-with-hyperopt-in-Python

hypertools-paper-notebooks

Supporting notebooks and data from hypertools paper

imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

jupyter_contrib_nbextensions

A collection of various notebook extensions for Jupyter

kaggle_pbr

My best submission to the Kaggle competition "Predicting a Biological Response", ranked 17th over 711 teams.

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.

lifelines

Survival analysis in Python

lime-experiments

Code for all experiments.

mlcheatsheet

Machine Learning cheat sheet for linear classifiers and clustering algorithms

neupy

NeuPy is a Python library for Artificial Neural Networks and Deep Learning.

pandas-exercises

Walkthrough exercises from PandasTutorial by Wes McKinney.

pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks