521 Open source projects that are alternatives of or similar to Machine_learning_a Z

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

The "Python Machine Learning (1st edition)" book code repository and info resource

A fast xgboost feature selection algorithm

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

anomaly detection with anomalize and Google Trends data

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

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

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

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

Matlab library for gradient descent algorithms: Version 1.0.1

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Heart Disease prediction using 5 algorithms

Plain python implementations of basic machine learning algorithms

Age classification from text using PAN16, blogs, Fisher Callhome, and Cancer Forum

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

Examples of using Neptune to keep track of your experiments (maintenance only).

My GitHub blog: things you might be interested, and probably not...

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

100 Days of ML Coding

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

🤖 Dev tools to reliably understand text and automate conversations. Built-in NLU. Connect & deploy on any messaging channel (Slack, MS Teams, website, Telegram, etc).

The Wearables Development Toolkit - a development environment for activity recognition applications with sensor signals

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

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

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

A modular active learning framework for Python

A simply budget app that predicts where the expenses are being made

Deep Learning From Scratch

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

A curated list of repositories for my book Machine Learning Solutions.

✌️ 👌 ✊ 📷 Sign Language Recognition using Python

GitHub Action for repo2docker

Enhancing `ggplot2` plots with statistical analysis 📊🎨📣

ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures

Text Classification Algorithms: A Survey

knyfe is a python utility for rapid exploration of datasets.

SkillCorner Open Data with 9 matches of broadcast tracking data.

Information about my experiences on ethical hacking 💀

Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

An extensive machine learning library, made from scratch (Python).

🦠 Django + Plotly Coronavirus dashboard. Powerful data driven Python web-app, with an awesome UI. Contributions welcomed! Featured on 🕶Awesome-list

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

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

PHP-ML - Machine Learning library for PHP

Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

Makine Öğrenmesi Türkçe Kaynak

正方验证码识别工具 提供多种方式

Data-Driven Exploration of the R Community

A repo with tutorials for algorithms from scratch

R package to interface with OpenML

Data-centric declarative deep learning framework

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.

Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark