852 Open source projects that are alternatives of or similar to ML-Track

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

🍊 📊 💡 Orange: Interactive data analysis

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn

Python Machine Learning Algorithms

https://dodiku.github.io/audio_noise_clustering/results/ ==> An experiment with a variety of clustering (and clustering-like) techniques to reduce noise on an audio speech recording.

Machine Learning Course @ Santa Clara University

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

Misc Statistics and Machine Learning codes in R

机器学习与深度学习算法示例

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

General Assembly's 2015 Data Science course in Washington, DC

An implementation of multivariate projection pursuit regression and univariate classification

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

A comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.

A python package to assess cluster tendency

All Algorithms implemented in R

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

A repository for recording the machine learning code

Artificial Neural Networks for Scala

Email clustering with machine learning

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

Fast and memory-efficient clustering

This repository consists of all my Machine Learning Projects.

Machine Learning in R

Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)

All Machine Learning Algorithms

Predicting Google’s stock price using regression

A Python package for fitting Quinlan's Cubist regression model

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

A scikit-learn based module for multi-label et. al. classification

Beta Machine Learning Toolkit

IPython widgets, interactive plots, interactive machine learning

Project work and Assignments for Machine learning specialization course on Coursera by University of washington

An Interactive Approach to Understanding Deep Learning with Keras

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

An open-source, low-code machine learning library in Python

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

A Clojure machine learning library

A Julia machine learning framework

Tribuo - A Java machine learning library

Statistical Machine Intelligence & Learning Engine

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

Codice sorgente ed Errata Corrige del mio libro "A tu per tu col Machine Learning"

R interface for Fixed Effect Models

Ordered Weighted L1 regularization for classification and regression in Python

A Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.

This project has 3 goals: To find out the best machine learning pipeline for predicting ASD cases using genetic algorithms, via the TPOT library. (Classification Problem) Compare the accuracy of the accuracy of the determined pipeline, with a standard Naive-Bayes classifier. Saving the classifier as an external file, and use this file in a Flask…

🤓🔮🔬 Emoji prediction from a text using machine learning

Fuzzy c-means Clustering

REST API (and possible UI) for Machine Learning workflows

A R framework for pipeline benchmarking, with application to single-cell RNAseq

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

Bay Area WiMLDS scikit-learn open source sprint (Nov 2, 2019)

Tidy, Type-Safe 'prediction()' Methods

Machine Learning algorithms coded from scratch