1939 Open source projects that are alternatives of or similar to Boostaroota

model-describer : Making machine learning interpretable to humans

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

I will update this repository to learn Machine learning with python with statistics content and materials

anomaly detection with anomalize and Google Trends data

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

This repository contains notes and projects of Data scientist track from dataquest course work.

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

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. 🎈

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

Compilation of R and Python programming codes on the Data Professor YouTube channel.

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Introduction to Data Science

The blog post about Kubeflow, including all materials

Lets Learn AI

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.

Open solution to the Santander Value Prediction Challenge 🐠

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.

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

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Python toolkit for pluggable algorithms and data structures for multimedia-based machine learning.

R package to interface with OpenML

Data-centric declarative deep learning framework

Allstate Kaggle Competition ML Capstone Project

Makine Öğrenmesi Türkçe Kaynak

A high-level machine learning and deep learning library for the PHP language.

Learning numerical computing with notebooks for all ages.

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

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

Monthly Series - Machine Learning Top 10 Open Source Projects

Learn advanced data science on real-life, curated problems

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

PHP-ML - Machine Learning library for PHP

This is the Repository where you can find all the solution of the Problems which you solve on competitive platforms mainly HackerRank and HackerEarth

建立你的算法地图：如何高效学习算法；算法工程师：从小白到专家

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

MLBox is a powerful Automated Machine Learning python library.

Hayate-Shiki is an improved merge sort algorithm with the goal of "faster than quick sort".

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

Jun 2020 scikit-learn sprint

Automated Data Science and Machine Learning library to optimize workflow.

A repo with tutorials for algorithms from scratch

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

A PureScript, browser-based implementation of LDA topic modeling.

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

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

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

Learning to create Machine Learning Algorithms

🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"

A machine learning toolkit dedicated to time-series data

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Lending Club Loan data analysis

[UNMAINTAINED] Automated machine learning for analytics & production

A repository to keep track of all the code that I end up writing for my blog posts.

Blockchain2graph extracts blockchain data (bitcoin) and insert them into a graph database (neo4j).

A curated list of applied machine learning and data science notebooks and libraries across different industries.