HiDN a ML pipeline for sparse high dimensional data

Package offers simultaneous regression and binary classification especially for educational data

Mambular is a Python package that brings the power of Mamba architectures to tabular data, offering a suite of deep learning models for regression, classification, and distributional regression tasks.

Data pre-processing with modular components for: normalizer/standarizer, unbiaser, trimmer and feature selector.

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

scikit-learn compatible estimators for various kNN imputation methods

Regression range finder for Mozilla nightly builds

Additional linear models including instrumental variable and panel data models that are missing from statsmodels.

🍊 📊 💡 Orange: Interactive data analysis

This repository contains a regression algorithm for predicting vehicle fuel efficiency (MPG) based on various features. The algorithm is deployed using Streamlit, providing an interactive interface for users to input vehicle details and get real-time MPG predictions. Start optimizing your fuel usage today! 🚗💨

A generalizable application framework for segmentation, regression, and classification using PyTorch

A unified framework for tabular probabilistic regression and probability distributions in python

Functional Data Analysis Python package

PyPEF – Pythonic Protein Engineering Framework

TensorLy: Tensor Learning in Python.

This repository contains python codes to train and run PyTorch models.

see README

Regression, Classification, Clustering, Associate Rule Learning, Reinforcement Learning, NLP, Deep Learning, Dimensionality Reduction and XGboast and cat boost models/ templates from udemy course ML A-Z from Super DATA Science

As part of the UCSanDiego online course "Machine Learning Fundamentals"

Implementation of common machine learning models using only numpy and pandas.