Materials for my scikit-learn tutorial

Diagrams of concepts in physics/chemistry/ML

Analyze spectroscopy data using tidy-data philosophy

Explaining the output of machine learning models with more accurately estimated Shapley values

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

R formatter and language server

Source for book "Feature Engineering A-Z"

Lesson series for the Openscapes Champions program

Java Environments for R Projects

Source and slides for "Why you should be using tidymodels" at UW-Madison

Tutorial on creating effective data plots for the SSA Statistical Computing and Visualisation section.

R functions for the chemometric analysis of spectra

R package baseline

Transfer Learning Benchmark Dataset

Latex code for making neural networks diagrams

R package for deep learning image segmentation

UA Workshop: Python for R users

Workshop on GAMs to support Ukraine

LDATree package for R

Complex, interactive heatmaps in R

💊 Molecular informatics toolkit with integration of bioinformatics and cheminformatics tools for drug discovery

Friedman's H-statistics

❗ This is a read-only mirror of the CRAN R package repository. IADT — Interaction Difference Test for Prediction Models

Lightning ⚡️ fast forecasting with statistical and econometric models.