7039 Open source projects that are alternatives of or similar to Homemade Machine Learning

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

An (old) and unstructured (messy tbh) collection of programming exercises.

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

Debugging, monitoring and visualization for Python Machine Learning and Data Science

📊 Algorithm Visualizer for IPython/Jupyter Notebook

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

A fast xgboost feature selection algorithm

model-describer : Making machine learning interpretable to humans

Plain python implementations of basic machine learning algorithms

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

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

FBP项目全称FootBallPrediction，历经9个月完成的足球比赛预测项目。项目结合大数据+机器学习，不断摸索开发了一个程序。程序根据各大公司赔率多维度预测足球比赛结果（包含胜和不胜）。机器学习用的是自己建立的“三木板模型”算法，已在国家期刊发表论文并被万方数据库收录，详见_ML_文件。目前准确率可达80%。该项目在自己创建的微信群里已经吸引了很多人，附件为群讨论截图，并且每天均有部分人根据预测结果参考投注竞彩，参考的人都获得了相应的收益。 现在想通过认识更多的有识之士，一起探索如何将项目做大做强，找到合伙人，实现共赢。希望感兴趣的同仁联系本人，微信号acredjb。公众号AI金胆（或AI-FBP），每天都有程序预测的足球比赛。程序优势请看Advantages和README文件。程序3.0版本：（第三轮目前13中12） 8月10日：13让负（正确） 8月11日：27让负（正确） 8月12日：11让负（正确） 8月13日：6胜（不正确） 8月14日：25让负（正确） 8月15日：无预测 8月16日：1胜（正确） 8月17日：6让负（正确） 8月18日：16胜（正确） 8月19日：34让负（正确） ... 1.0版本（第一轮为11中9） 2.0版本（第二轮13中11）.

Create delightful python projects using Jupyter Notebooks

🎯 A comprehensive gradient-free optimization framework written in Python

🎵 Algorithms written in different programming languages - https://zoranpandovski.github.io/al-go-rithms/

Learning numerical computing with notebooks for all ages.

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

《程序员面试金典》(cc150)

📖 Worked Solutions of "Data Structures & Algorithms in Python", written by Michael T. Goodrich, Roberto Tamassia and Michael H. Goldwasser. ✏️

image processing codes to understand algorithm

Teaching and Learning with Jupyter

This is the official repository for the Recommender Systems course at Politecnico di Milano.

No description or website provided.

Python sample codes for robotics algorithms.

This repository contains algorithms written in MATLAB/Octave. Developing algorithms in the MATLAB environment empowers you to explore and refine ideas, and enables you test and verify your algorithm.

No description or website provided.

Using Project Jupyter for data science.

A collection of Methods and Models for various architectures of Artificial Neural Networks

Algorithms And DataStructure Implemented In Python & CPP, Give a Star 🌟If it helps you

Interactive JavaScript and TypeScript programming with Jupyter

anomaly detection with anomalize and Google Trends data

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

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

Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK

A guide on how to set up Jupyter with Pyspark painlessly on AWS EC2 clusters, with S3 I/O support

Add any Program in any language you like or add a hello world Program ❣️ if you like give us ⭐

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

Open-source implementation of Google Vizier for hyper parameters tuning

Teach you how to implement machine learning algorithms

C# kernel for Jupyter

Notebooks and libraries for spatial/geo Python explorations

This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.

Reinforcement learning with A* and a deep heuristic

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

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

Soomvaar is the repo which 🏩 contains different collection of 👨‍💻🚀code in Python and 💫✨Machine 👬🏼 learning algorithms📗📕 that is made during 📃 my practice and learning of ML and Python✨💥

💫 Jupyter notebooks for spaCy examples and tutorials

Analysis and datasets about football (soccer)

tensorflow implementation of Grad-CAM (CNN visualization)

Heart Disease prediction using 5 algorithms

Mathematica implementations of machine learning algorithms used for prediction and personalization.

Machine Learning Lectures at the European Space Agency (ESA) in 2018

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

Save Jupyter Notebooks as PDF

Jupyter notebook integration with Spyder

Jupyter's kernel for Elixir programming language

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

declarative and reproducible Jupyter environments - powered by Nix

Plant Disease Identification Using Convulutional Neural Network