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denoisingdirtydocuments

Kaggle competition: Denoising dirty documents.

django-bootstrap-form

Twitter Bootstrap for Django Form

effectivetensorflow

TensorFlow tutorials and best practices.

elasticsearch-tutorial

Exercises for the Slithering Into Elasticsearch tutorial at PyCon 2015

extremely-simple-one-shot-learning

Extremely simple one-shot learning in Python

free-programming-books

:books: Freely available programming books

generative-model-most-similar-images

Function that output the 5 most similar training (real) images to the given generated (fake) images.

getting-and-cleaning-data

Getting and Cleaning Data using R

github-cheat-sheet

A list of cool features of Git and GitHub.

gradientdescentexample

Example demonstrating how gradient descent may be used to solve a linear regression problem

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

intro_to_udacity_machine_learning

introduction_to_r

An free interactive introduction to R tutorial for DataCamp.com

ipython-notebooks

A collection of IPython notebooks covering various topics.

kaggle

Solutions to some Kaggle competitions

kaggle-1

A collection of Kaggle solutions. Not very polished.

kaggle_knowledge

Face recognition From kaggle, Some points to be noted down

legofy

lessons-learned-data-science-interviews

Lessons learned the hard way through over 30+ data science interviews

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

machine_learning_examples

A collection of machine learning examples and tutorials.

mastering-r-programming

R code examples for the 'Mastering R Programming' Course

medical-data

neon

Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

nepaliya.me

nlp_workshop_dhs18

Contains code and presentation for our full day workshop, 'Getting Started with Natural Language Processing'. This is created for the purpose of being presented in Analytics Vidhya's DataHack Summit 2018. Authors: Dipanjan Sarkar & Raghav Bali

nn-from-scratch

Implementing a Neural Network from Scratch

numpy

Library for setup and pdf for working with numpy

numpy-100

100 Numpy exercises (60 actually, we need your help...)