225 Open source projects that are alternatives of or similar to Grt

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

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

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

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

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Plain python implementations of basic machine learning algorithms

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

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H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

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

Six snippets of code that made deep learning what it is today.

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

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This repo is intended to support replication and exploration of the analysis undertaken for our Urban Studies article "Understanding urban gentrification through Machine Learning: Predicting neighbourhood change in London".

Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

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Machine Learning library for the web and Node.

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