Github has not only been the go-to platform for releasing and developing state-of-the art Data Science tools but also a very familiar platform amongst the community as a guide for free learning sources.
Here is a list of Github repositories which listed in accordance with the star rating of the users on Github. And are also an amalgamation of Data science resources which would appeal to both the set of audience — beginners as well as experts:
Data-science-ipython-notebooks – A Compilation of Python Tutorials
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.
The Open-Source Data Science Masters – Libraries and Tutorials in Python
The open-source curriculum for learning Data Science covers rudimentary concepts in both theory and technologies.
Awesome Data Science – A One Stop Source To Blogs And Podcasts
This is an open source Data Science repository to learn and apply towards solving real world problems using Data science.
Why Data science, Data science colleges, MOOCs, Datasets, Podcasts and Blogs.
Stanford-Tensorflow-tutorials – Assignments and Sample Code of the Main Course
This repository contains code examples for the course CS 20: TensorFlow for Deep Learning Research.
Data science Blogs – A Collection Of Top Blogs In Alphabetical Order
This repository contains a curated list of top data science blogs which are available for free
Deep Learning Specialization on Coursera – A Compilation of Code-based Quiz questions From the main Course
This repo contains all the code base, quiz questions, screenshot, and images, are taken from, unless specified, Deep Learning Specialization on Coursera.
Keras, TensorFlow, Optimisation methods, Gradient checking, Step-by-step guide to building a neural network
Spark Notebook – A Quick Start Guide to Spark
Creative Applications of Deep Learning with Tensorflow – A Collection of Lecture Transcripts, Assignments and a Guide to Installation of Packages
This repository contains lecture transcripts and homework assignments as Jupyter Notebooks for the first of three Kadenze Academy courses on Creative Applications of Deep Learning w/ Tensorflow.
TensorFlow, CUDA/GPU instructions
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A technology journalist with a master's degree in Robotics. Likes to write about machine learning advancements. email:firstname.lastname@example.org