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algorithms-in-python

:octocat: Interactive way to learn Algorithms . Feel free to contribute! :mortar_board:

anomalize

Tidy anomaly detection

awesome-actions

A curated list of awesome actions to use on GitHub

beautiful-docs

Pointers to useful, well-written, and otherwise beautiful documentation.

charmingpython

a step by step guide to learn python from scratch

cheatsheets

RStudio Cheat Sheets

correlationfunnel

Speed Up Exploratory Data Analysis (EDA)

daily-coding-problem

Solutions for Daily Coding Problem.

data-science-best-resources

Carefully curated resource links for data science in one place

data-science-take-home-challenges

A list of take home challenges for data science interviews I've compiled

data_science_using_r

deep-blueberry

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

evidently

Interactive reports to analyze machine learning models during validation or production monitoring.

fastpages

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

hackerrank

:chart_with_upwards_trend: Efficient solutions and notes for many HackerRank challenges, in several languages

hackerrank_python_domain_solutions

Solutions of challenges of Hackerrank Python domain

hackerrankpractice

170+ solutions to Hackerrank.com practice problems using Python 3, С++ and Oracle SQL

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

jaqilearning

learn-python

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

nltk3-cookbook

Code for NLTK3 Cookbook

notes

CME211 Notes | Outline ->

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pandas-cookbook

Recipes for using Python's pandas library

practice-python

Part of my daily plan for studying Python.

programminginpython.com

This repo consists code of all the programs discussed at programminginpython.com website

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media