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ntodata's Projects

caret icon caret

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

catboost icon catboost

CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R

dsbook icon dsbook

Repository for data science book

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fast_rgf icon fast_rgf

Multi-core implementation of Regularized Greedy Forest

h2o-3 icon h2o-3

Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles...)

lightgbm icon lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

long-form-problem-solutions icon long-form-problem-solutions

This repository contains solutions for the long-form-practice projects for UBCx SoftConst2x: Object Oriented Design

long-form-problem-starters icon long-form-problem-starters

This repository contains the starter projects for the long-form-practice projects for UBCx SoftConst2x: Object Oriented Design

metrics icon metrics

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

mitx_6.86x icon mitx_6.86x

Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning

ml_board icon ml_board

a machine learning dashboard that displays hyperparameter settings alongside visualizations, and logs the scientist's thoughts throughout the training process

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