|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Smile||5,736||121||30||a month ago||30||December 05, 2020||10||other||Java|
|Statistical Machine Intelligence & Learning Engine|
|Alink||3,343||1||2 months ago||16||September 08, 2022||48||apache-2.0||Java|
|Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.|
|Machine Learning With Python||2,712||14 days ago||8||bsd-2-clause||Jupyter Notebook|
|Practice and tutorial-style notebooks covering wide variety of machine learning techniques|
|Awesome_time_series_in_python||1,811||4 months ago||4|
|This curated list contains python packages for time series analysis|
|Mlr||1,595||65||36||4 months ago||22||October 05, 2020||9||other||R|
|Machine Learning in R|
|Mlj.jl||1,589||22 days ago||90||other||Julia|
|A Julia machine learning framework|
|Pycm||1,382||5||8||6 days ago||39||April 27, 2022||12||mit||Python|
|Multi-class confusion matrix library in Python|
|Machine_learning_and_deep_learning||425||19 days ago||gpl-3.0||Jupyter Notebook|
|Uci Ml Api||189||2 years ago||3||mit||Python|
|Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)|
|Data Science Toolkit||185||a year ago||1||HTML|
|Collection of stats, modeling, and data science tools in Python and R.|
This repository contains the prediction of baseball statistics using MLB Statcast Metrics.
Build and train models to predict home runs and extra-base hits implementing the following approaches:
Implement over-sampling for imbalanced data to improve the quality of predictive modeling (i.e., generalizability).
Apply regularization and cross-validation techniques for model evaluation, selection, and optimization.
Build and train models to predict hit distance implementing the following approaches:
Apply regularization (Ridge, Lasso, Elastic Net) and cross-validation (k-fold) techniques for model evaluation, selection, and optimization.