925 Open source projects that are alternatives of or similar to Feagen

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

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

A collection of demos showcasing automated feature engineering and machine learning in diverse use cases

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

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An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

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

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Data transformations for the ML era

A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning

Complete-Life-Cycle-of-a-Data-Science-Project

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

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.

An open source python library for automated feature engineering

Feature exploration for supervised learning

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

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Data science interview questions with answers. Not ideally (yet)

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Javascript full-stack framework for Big Data visualisation and analysis

Documentation and samples for ArcGIS API for Python

Association Rule Mining from Spatial Data for Crime Analysis

Efficient variant-call data storage and retrieval library using the TileDB storage library.

PyMC3 educational resources

A Python tool that automatically cleans data sets and readies them for analysis.

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

Wolfram Language code and notebooks related to the coronavirus outbreak

CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line application for working with CSV files.

Notes for using R language to do data mining and machine learning (Chinese)

Out-of-box Data Science / AI platform | AI/数据科学的瑞士军刀

Instant access to many datasets in Python.

The blog post about Kubeflow, including all materials

Introduction to pandas Treehouse course

brief introduction to Python for machine learning

Create HTML profiling reports from pandas DataFrame objects

Scripts + data to recreate analyses published on http://benjaminlmoore.wordpress.com and http://blm.io

Dato Fútbol repository

BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.

A resource list for causality in statistics, data science and physics

Fill missing values in Pandas DataFrames using Restricted Boltzmann Machines

Comprehensive toolkit for generating various numerical features of protein sequences

Relief Based Algorithms of ReBATE implemented in Python with Cython optimization. This repository is no longer being updated. Please see scikit-rebate.

PyData Korea 공식 홈페이지입니다. (준비중)

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model-describer : Making machine learning interpretable to humans

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Using python and scikit-learn to make stock predictions