Machine Learning Models

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
Alternatives To Machine Learning Models
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Machine_learning_basics3,754
a year ago2mitJupyter Notebook
Plain python implementations of basic machine learning algorithms
Ai_all_resources647
5 months ago1Jupyter Notebook
A curated list of Best Artificial Intelligence Resources
Classiccomputerscienceproblemsinswift184
3 months ago2apache-2.0Swift
Source Code for the Book Classic Computer Science Problems in Swift
Machine_learning183
2 years ago2mitJupyter Notebook
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Ml Course168
2 months agoR
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
Mlkit142
6 years ago7October 09, 20173mitSwift
A simple machine learning framework written in Swift 🤖
Funq128
6 months agomitq
Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"
Ml_code94
2 years ago2apache-2.0Python
A repository for recording the machine learning code
Machine Learning Models81
7 years ago1Matlab
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
Tf Example Models35
6 years ago1apache-2.0Python
TensorFlow-based implementation of (Gaussian) Mixture Model and some other examples.
Alternatives To Machine Learning Models
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