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Learn Python by Building Data Science Applications, published by Packt
Mastering Object-Oriented Python - Second Edition, published by Packt
A C++ implementation of Google Encoded Polyline Algorithm Format (encoder/decoder)
TriMap: Large-scale Dimensionality Reduction Using Triplets
R package for fast and accurate raster zonal statistics
Planning our activities with issues that don't fit in a specific repository yet.
MachineShop: R package of models and tools for machine learning
Nonnegative Linear Models (NNLM) and Nonnegative Matrix Factorization (NMF or NNMF).
biglasso: Extending Lasso Model Fitting to Big Data in R
A series of shiny related RStudio Snippets
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"
The fastest spatial index for geographic locations in JavaScript
Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models
Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson
Avocado is a multi-scale deep tensor factorization model that learns a latent representation of the human epigenome and enables imputation of epigenomic experiments that have not yet been performed.
The "Python Machine Learning (3rd edition)" book code repository
A Unified Framework for Random Forest Prediction Error Estimation
An R modeling language for convex optimization problems.
OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
Recipes for using R's data.table package