1217 Open source projects that are alternatives of or similar to machine-learning-course

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

VIP cheatsheets for Stanford's CS 229 Machine Learning

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Machine Learning project a case study focused on the interaction with digital characters, using a character called "Kaio", which, based on the automatic detection of facial expressions and classification of emotions, interacts with humans by classifying emotions and imitating expressions

Complete-Life-Cycle-of-a-Data-Science-Project

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

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

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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.

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

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

(NeurIPS 2020 oral) Code for "Deep Transformation-Invariant Clustering" paper

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Predicting the winner of 2019 cricket world cup using random forest algorithm

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🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

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How to do Unsupervised Clustering with Keras

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Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

Routines and data structures for using isarn-sketches idiomatically in Apache Spark

Text processing library for sentiment analysis and related tasks

A fun study of some heuristics for the Travelling Salesman Problem.

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

No description or website provided.

This repository is a recommended track, designed to get started with Machine Learning.

Python Framework for Extractive Text Summarization

Unsupervised Machine Learning: Nonnegative Tensor Factorization + k-means clustering

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

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PHP-ML - Machine Learning library for PHP

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

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