882 Open source projects that are alternatives of or similar to MachineLearningSeries

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

Heart Disease prediction using 5 algorithms

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

A collection of research papers on decision, classification and regression trees with implementations.

Plain python implementations of basic machine learning algorithms

bitcoin prediction algorithms

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

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Code for Tensorflow Machine Learning Cookbook

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

Code for Java Deep Learning Cookbook

Simple machine learning library / 簡單易用的機器學習套件

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

A simple machine learning framework written in Swift 🤖

100 Days of ML Coding

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

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

🏭 JavaScript Machine Learning Toolkit

This is the implementation of Sparse Projection Oblique Randomer Forest

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

A curated list of data mining papers about fraud detection.

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

Handwritten Digit Recognition using Machine Learning and Deep Learning

Misc Statistics and Machine Learning codes in R

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

Matlab library for gradient descent algorithms: Version 1.0.1

Scala Library/REPL for Machine Learning Research

The repository provides usefull python scripts for ML and data analysis

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

Machine Learning Concepts with Concepts

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

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

R package to interface with OpenML

Python code for common Machine Learning Algorithms

Launch machine learning models into production using flask, docker etc.

gesture recognition toolkit

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

A PureScript, browser-based implementation of simple linear regression.

Super fast simple k-means implementation for unidimiensional and multidimensional data.

Ruby Scoring API for PMML

ML algorithm for real-time classification

PHP-ML - Machine Learning library for PHP

A random forest

Machine Learning algorithms coded from scratch

🍊 📊 💡 Orange: Interactive data analysis

Basic Machine Learning implementation with python

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

Online machine learning methods

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

Cluster Algorithms from Scratch with Julia Lang. (K-Means and DBSCAN)

ugtm: a Python package for Generative Topographic Mapping

🏆 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.

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.

🍡 文本聚类 k-means算法及实战

Mobile(iOS) Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP). Accepted at NAACL 2022.

Fast Best-Subset Selection Library

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น [2020]

Implementation of the reweighted wake-sleep machine learning algorithm