6576 Open source projects that are alternatives of or similar to Cheat Sheets

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Completed assignments and coding challenges from the Lambda School Data Science program.

Modern Data Science

Introduction to pandas Treehouse course

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

Create HTML profiling reports from pandas DataFrame objects

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

ML.NET Workshop to predict car sales prices

Google Colaboratory Notebooks and Repositories (by @firmai)

A collection of notebooks of my Machine Learning class written in python 3

Python training for business analysts and traders

Learn advanced data science on real-life, curated problems

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

Resources for weekly Data Science Lunch & Learns

Best Practices, code samples, and documentation for Computer Vision.

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

The Raspberry Turk is a robot that can play chess—it's entirely open source, based on Raspberry Pi, and inspired by the 18th century chess playing machine, the Mechanical Turk.

A workshop on data privacy methods for data scientists.

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

My solution to the book A Collection of Data Science Take-Home Challenges

Exercises for hierarchical clustering with Python 3 and scipy as Jupyter Notebooks

Material for the EPFL master course "A Network Tour of Data Science", edition 2017.

🍧 A repository that contains courses I have taken on DataCamp

🎓 Jupyter notebooks from UFC data science course

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Allstate Kaggle Competition ML Capstone Project

🤖⚡️ scikit-learn tips

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

Malware Data Science Reading Diary / Notes

R package to interface with OpenML

This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.

Road to Machine Learning

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

GitHub Action for repo2docker

Tutorials and training material for the H2O Machine Learning Platform

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

Basic Cheat Sheet for Python (PDF, Markdown and Jupyter Notebook)

A repo with tutorials for algorithms from scratch

Datasets, tools, and benchmarks for representation learning of code.

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

Yet another black-box optimization library for Python

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Data augmentation for NLP

A collection of Jupyter/IPython notebooks

Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4

Welcome everyone!🌟 Here you can solve problems, build scrappers and much more💻

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

Statistical Interactive Visualization with pandas+Jupyter integration on top of Echarts.

A Python library for easy data analysis, visualization, exploration and modeling

Jupyter notebook and datasets from the pandas Q&A video series

Achieve your marketing goals with the data analytics power of Python

Data science and Big Data with Python

Feature exploration for supervised learning

Support content for my blog

Source material for Python Like You Mean it

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

YouTube Like Count Predictions using Machine Learning

A blog for data analytics using data science technologies