1779 Open source projects that are alternatives of or similar to Sk Dist

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.

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.

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

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

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

🎓 Jupyter notebooks from UFC data science course

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

🐍 Quick reference guide to common patterns & functions in PySpark.

Data science and Big Data with Python

State-of-the art Automated Machine Learning python library for Tabular Data

A simple Spark-powered ETL framework that just works 🍺

Deep Learning Toolkit for Medical Image Analysis

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

fklearn: Functional Machine Learning

Collection of open-source Spark tools & frameworks that have made the data engineering and data science teams at Swoop highly productive

Dive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.

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

Data augmentation for NLP

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

The "Python Machine Learning (1st edition)" book code repository and info resource

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

Курс "Прикладные задачи анализа данных" (ВМК, МГУ имени М.В. Ломоносова)

An intuitive library to add plotting functionality to scikit-learn objects.

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

Library for Semi-Automated Data Science

🤖⚡️ scikit-learn tips

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

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)

Official community-driven Azure Machine Learning examples, tested with GitHub Actions

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.

Word2Vec models with Twitter data using Spark. Blog:

Experiment tracking for machine and deep learning projects

[UNMAINTAINED] Automated machine learning for analytics & production

Collaborate on privacy-preserving policy for data science projects in Pandas and Apache Spark

Email clustering with machine learning

Python Cheat Sheet NumPy, Matplotlib

IPython widgets, interactive plots, interactive machine learning

Pandas and Spark DataFrame comparison for humans

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

Content for architecting a data science platform for products using Luigi, Spark & Flask.

A Clojure dataframe library that runs on Spark

This is Andrew NG Coursera Handwritten Notes.

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

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

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Framework of vectorized and distributed data analytics

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.

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

🍊 📊 💡 Orange: Interactive data analysis

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

All the slides, accompanying code and exercises all stored in this repo. 🎈

Polyaxon Core Client & CLI to streamline MLOps

Free Resources For Data Science created by Shubham Kumar

Koalas: pandas API on Apache Spark

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Carefully curated resource links for data science in one place