2670 Open source projects that are alternatives of or similar to Complete Life Cycle Of A Data Science Project

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data⎰describe: Pythonic EDA Accelerator for Data Science

Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.

PHP-ML - Machine Learning library for PHP

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

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Free Resources For Data Science created by Shubham Kumar

Always know what to expect from your data.

和（he for objective-c） —— “信息熵减机系统”

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.

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

VIP cheatsheets for Stanford's CS 229 Machine Learning

Learning to Cluster. A deep clustering strategy.

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

A day to day plan for this challenge. Covers both theoritical and practical aspects

A library of extension and helper modules for Python's data analysis and machine learning libraries.

DataPrep — The easiest way to prepare data in Python

A collection of machine learning examples and tutorials.

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

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

Codebase for the Summary Loop paper at ACL2020

Instant access to many datasets in Python.

🔬 A curated list of awesome machine learning strategies & tools in financial market.

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

Data Annotation, Data Labeling, Annotation Tooling, Training Data for Machine Learning

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An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

Stock Price Prediction using Machine Learning Techniques

Quiz & Assignment of Coursera

Feature exploration for supervised learning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

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

tensorflow deep RL for driving a rover around

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.

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

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

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

Parser and database to index the terpene profile of different strains of Cannabis from online databases

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

Carefully curated resource links for data science in one place

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

An open source python library for automated feature engineering

数据接口：百度、谷歌、头条、微博指数,宏观数据，利率数据，货币汇率，千里马、独角兽公司，新闻联播文字稿，影视票房数据，高校名单，疫情数据…

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

R package to interface with OpenML

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📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

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