Bargava

intro2stats. Introduction to Statistics using Python

DeepLearning-NLP. Introduction to Deep Learning for Natural Language Processing

TimeSeriesAnalysiswithPython. Time Series Analysis with Python

DeepLearning-Image. Introduction to Deep Learning for Image Recognition

intro2deeplearning. Introduction to Deep Learning

BlackFridayDataHack. Black Friday Data Hack (online data science hackathon) held Nov 20-22 by Analytics Vidhya

Optimization_in_Python. Tutorial on "Modern Optimization Methods in Python"

intro-to-machine-learning. Introduction to Machine Learning using Python

ml-coursera-python-assignments. Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

NBA_SportVu. Scripts for analyzing NBA sportvu motion data

DeepLearningImplementations. Implementation of recent Deep Learning papers

Blaze. Introduction to Blaze. Talk given at BangPyper at Jan 2015

MacHack. Tips and Tricks that I've learnt on Mac

NLP-progress. Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Statistical-Rethinking-with-Python-and-PyMC3. Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

CNN-from-Scratch. A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

appliedML. Applied Machine Learning using Python

bangpypers_apr2015. Talk given at BangPypers April 2015 Meetup at IBM.

cricket-analytics. Cricket Analytics

awesome-machine-learning-interpretability. A curated list of awesome machine learning interpretability resources.

NBA_Analytics. NBA Analytics using SportsVU data

DL-NLP. Jupyter Notebook

learnDL. Articles/Books to learn Deep Learning

TensorFlow-Examples. TensorFlow Tutorial and Examples for Beginners with Latest APIs

bdotcom. personal website

aws-setup. Shell

test-one-click-hugo-cms. CSS

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

capsule-networks. A Tensorflow(v1.4) implementation of Capsule Networks (Dynamic Routing Between Capsules , https://arxiv.org/abs/1710.09829)

courses. fast.ai Courses

cs229. Stanford CS229 (Autumn 2017)

Capsule-Network-Tutorial. Pytorch easy-to-follow Capsule Network tutorial

Links_and_Articles. Links to articles that I find interesting