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

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

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

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

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

Heart Disease prediction using 5 algorithms

O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian

100 Days of ML Coding

关注AI模型上线、模型部署

📈 Regression and Classification with UC Davis student quiz data and exam data

Python code for common Machine Learning Algorithms

Learning to Cluster. A deep clustering strategy.

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

A repository for recording the machine learning code

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

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

Variational Bayes linear and logistic regression

Python re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"

Fast and memory-efficient clustering

🍊 📊 💡 Orange: Interactive data analysis

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

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

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.

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

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

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

No description or website provided.

An introductory statistics course for social scientists, using Stata

Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-dimensional data

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

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 sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

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

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

How to do Unsupervised Clustering with Keras

Python implementation of Andrew Ng's ML course projects

A curated list of community detection research papers with implementations.

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

k-means clustering in Ruby

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

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.

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

Email clustering with machine learning

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

Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'

📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction

ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

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

Pipeline of a keylogging attack using just an audio signal and unsupervised learning.

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

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

A gentle introduction to machine learning: data handling, linear regression, naive bayes, clustering

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Fast Best-Subset Selection Library

Parallel & lightning fast implementation of available classic and contemporary variants of the KMeans clustering algorithm

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

A python package to assess cluster tendency

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

A simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python

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