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100-days-of-code

Fork this template for the 100 days journal - to keep yourself accountable

100-pandas-puzzles

100 short data puzzles for pandas, ranging from very easy to super tricky (55% complete)

all-about-programming

Everything about programming!!

amazon-scraper-python

Non-official client to get some info about products sold on Amazon

awesome-python

A curated list of awesome Python frameworks, libraries and software

buildingmachinelearningsystemswithpython

Source Code for the book Building Machine Learning Systems with Python

chatbot_bhasad

cortex

Machine learning model serving infrastructure

doctrine_lapse

Helps your startup grow with you.

facebookbot

A facebook bot to scrap, post, spam and more without the facebook API

gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

github-utils

A collection of github command line utilities

golang_basics

Let's get started with solving Machine learning problems using Go language

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

india-election-data

To map publicly available datasets related to General Assembly (Lok Sabha) elections in India.

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

machine-learning-basics

A single stop repository for all the machine learning beginners.

mitx-6002x-video-downloader

project_euler

I recommend you to first visit https://projecteuler.net/ and solve the problems of Project_Euler by yourself. Use these python scripts only as a reference in case of doubts.

pwc

Papers with code. Sorted by stars. Updated weekly.

pycon-2019-tutorial

Data Science Best Practices with pandas

pycon-pandas-tutorial

PyCon 2015 Pandas tutorial materials

pydata101

resurgence-website

review-board

scipy_2015_sklearn_tutorial

Scikit-Learn tutorial material for Scipy 2015

statistics-for-data-science-using-python

Sharing the solved Exercises & Project of Statistics for Data Science using Python course on Coursera by Ankit Gupta

test_project

the-art-of-command-line

Master the command line, in one page

the-strings_2sigma_kaggle

As a scientifically driven investment manager, Two Sigma has been applying technology and data science to financial forecasts for over 17 years. Their pioneering advances in big data, AI, and machine learning have pushed the investment industry forward. Now, they're eager to engage with Kagglers in this continuing pursuit of innovation. By analyzing news data to predict stock prices, Kagglers have a unique opportunity to advance the state of research in understanding the predictive power of the news. This power, if harnessed, could help predict financial outcomes and generate significant economic impact all over the world. Data for this competition comes from the following sources: Market data provided by Intrinio. News data provided by Thomson Reuters. Copyright ©, Thomson Reuters, 2017. All Rights Reserved. Use, duplication, or sale of this service, or data contained herein, except as described in the Competition Rules, is strictly prohibited.