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awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-python-applications

💿 Free software that works great, and also happens to be open-source Python.

bayesian_first_aid

Inside every classical test there is a Bayesian model trying to get out.

bayesianprobabilitiesworkshop

A collection of questions and solutions to problems presented at Rasmus Bååth's Bayesian probabilities workshop.

bert_with_keras_custom_layer

cracking-the-data-science-interview

Resources for Oreilly's "Cracking the Data Science Interview" video series.

data-science-ipython-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.

data-science-primer

A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/

deeplearningwithtf2.0

Practical Exercises in Tensorflow 2.0 for Ian Goodfellows Deep Learning Book

hackerrank_solutions

317 efficient solutions to HackerRank problems

laplacesdemon

A complete environment for Bayesian inference within R

learn_ml_in_6_months

Become a good Machine Learning Engineer

leetcode

The mediocre solutions to leetcode problems using Python

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

machine_learning_examples

A collection of machine learning examples and tutorials.

murmur

A mailing list designed to reduce noise and encourage sharing

mysal

My Somewhat Awesome List

nlp

Code written as a part of assignments for CSE556 Natural Language Processing taught by Dr. Tanmoy Chakraborty at IIIT Delhi in Monsoon 2018

personal_data_science_projects

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

python

Basic intro to python

python-1

All Algorithms implemented in Python

spotify-data

Full-stack data project

spotifyme

spotifyMe is a thin client library for collecting spotify data into a Pandas Dataframe using Spotify Web API

survivalanalysis

Example fitting KM and CPH to telco churn dataset

theory-statistical-modelling

This repository contains all the notes i've written in learning to become a Data Scientist, the notebooks contain specifically the theoretical implementations of Machine Learning algorithms, Deep Learning algorithms, Linear & Non-Linear Method for statistical modelling.

vadersentiment

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

wikum

tool for collectively summarizing large discussions

wtfpython

If you think you know Python, think once more!