329 Open source projects that are alternatives of or similar to 50-days-of-Statistics-for-Data-Science

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

(deprecated) A fast and memory-efficient Python data engineering framework for machine learning.

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

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

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Feature exploration for supervised learning

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

An open source python library for automated feature engineering

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Open solution to the Home Credit Default Risk challenge 🏡

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

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

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

No description or website provided.

Prosto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

This repository contains instructions and code to deploy a customer 360 profile solution on Azure stack using the Cortana Intelligence Suite.

使用sklearn做特征工程

Icicle Streaming Query Language

Engine X - 实时AI智能决策引擎、规则引擎、风控引擎、数据流引擎。 通过可视化界面进行规则配置，无需繁琐开发，节约人力，提升效率，实时监控，减少错误率，随时调整； 支持规则集、评分卡、决策树，名单库管理、机器学习模型、三方数据接入、定制化开发等；

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

A schema-aware Scala library for data transformation

🏆DataCon大数据安全分析大赛，2019年方向二（恶意代码检测）冠军源码、2020年方向五（恶意代码分析）季军源码

Package for Heart Rate Variability analysis in Python

Understanding transportation mode from GPS (Global Positioning System) traces is an essential topic in the data mobility domain. In this paper, a framework is proposed to predict transportation modes. This framework follows a sequence of five steps: (i) data preparation, where GPS points are grouped in trajectory samples; (ii) point features gen…

🔥 Fast, simple sklearn-like feature processing for Go

Implementation of feature engineering from Feature engineering strategies for credit card fraud

A scalable general purpose micro-framework for defining dataflows. You can use it to create dataframes, numpy matrices, python objects, ML models, etc.