2007 Open source projects that are alternatives of or similar to Awesome Python Data Science

Curated list of Python resources for data science.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Java dataframe and visualization library

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

Visualize and compare datasets, target values and associations, with one line of code.

model-describer : Making machine learning interpretable to humans

General Assembly's 2015 Data Science course in Washington, DC

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

A Dynamic Web Toolbox for Interactive Data Processing, Analysis, and Visualization

Apache Superset is a Data Visualization and Data Exploration Platform

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.

Teaching Materials for Dr. Waleed A. Yousef

R Weekly

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

repo for code published on pythondata.com

scikit-learn: machine learning in Python

IPython widgets, interactive plots, interactive machine learning

A Portfolio of my Data Science Projects

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

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

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

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Analyze facebook copy of your data with ruby language. Download zip file from facebook and get info about friends ranking by message, vocabulary, contacts, friends added statistics and more

An open source book to learn data science, data analysis and machine learning, suitable for all ages!

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Practical Data Science with Ruby based tools.

Dex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations.

Ultimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction

📢 Ready to learn or review your knowledge!

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

Streamlit — The fastest way to build data apps in Python

🍧 A repository that contains courses I have taken on DataCamp

Visualizer for pandas data structures

Analyze Data with Pandas-based Networks. Documentation:

a delightful machine learning tool that allows you to train, test, and use models without writing code

Build a data visualization dashboard with simple snippets of python code

A curated list of awesome scientific Python resources

Notes for Deep Learning Specialization Courses led by Andrew Ng.

Collection of stats, modeling, and data science tools in Python and R.

Matplot++: A C++ Graphics Library for Data Visualization 📊🗾

Quiz & Assignment of Coursera

Actively curated list of awesome BI tools. PRs welcome!

Easy to use Python library of customized functions for cleaning and analyzing data.

Create UIs for your machine learning model in Python in 3 minutes

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

Virgilio is developed and maintained by these awesome people. You can email us virgilio.datascience (at) gmail.com or join the Discord chat.

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

Stock for Deep Learning and Machine Learning

open source for wechat-official-account (ID: PyDataLab)

🍊 📊 💡 Orange: Interactive data analysis

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

Carefully curated resource links for data science in one place

A visualisation tool for the creation and analysis of graphs

Advanced and Fast Data Transformation in R

The data journalism platform with built in training