Topic: regression-models

3,880 repositories

unslothai/hyperlearn

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

β˜… 2,520Jupyter NotebookForks 169

uber/orbit

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

β˜… 2,079PythonForks 147

bambinos/bambi

BAyesian Model-Building Interface (Bambi) in Python.

β˜… 1,300PythonForks 148

ddsjoberg/gtsummary

Presentation-Ready Data Summary and Analytic Result Tables

β˜… 1,214RForks 152

NishkarshRaj/100DaysofMLCode

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

β˜… 341Jupyter NotebookForks 164

Netanelshoshan/freqAI-LSTM

A Trading Model Utilizing a Dynamic Weighting and Aggregate Scoring System with LSTM Networks

β˜… 324PythonForks 108

zavtech/morpheus-core

The foundational library of the Morpheus data science framework

β˜… 243JavaForks 24

StatsReporting/stargazer

Python implementation of the R stargazer multiple regression model creation tool

β˜… 211Jupyter NotebookForks 52

dominance-analysis/dominance-analysis

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

β˜… 177PythonForks 61

Diyago/ML-DL-scripts

The repository provides usefull python scripts for ML and data analysis

β˜… 177Jupyter NotebookForks 78

aml4td/website

Website sources for Applied Machine Learning for Tabular Data

β˜… 173HTMLForks 17

robertvacareanu/llm4regression

Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update

β˜… 161PythonForks 20

joanby/r-course

Una introduccion al analisis de datos con R y R Studio

β˜… 150JavaForks 407

differential-machine-learning/notebooks

Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.

β˜… 149Jupyter NotebookForks 57

ROHANNAIK/Sales-Prediction

In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.

β˜… 121Jupyter NotebookForks 45

pansism/downscale-satelliteLST

A python class for enhancing the spatial resolution of satellite-derived Land Surface Temperatures (LST) using statistical downscaling.

β˜… 115PythonForks 37