Track scikit-learn experiments using MLflow with support for local and remote tracking, hyperparameter tuning, and DagsHub integration.

This project focuses on developing a predictive model using machine learning techniques to analyze a given dataset. The model is designed to provide accurate predictions based on historical data. It includes scripts for data preparation, model training, and making predictions, along with structured approach to project organization and documentation

End-to-end feature engineering and classical machine learning pipeline for real-world tabular data, including preprocessing, feature selection, and scientific model selection with cross-validation.

Streamlined API for simplified OpenAI requests, enabling efficient AI integration... Created at https://coslynx.com

This Python project implements a simple classification model comparison using scikit-learn to classify banknotes as either "Authentic" or "Counterfeit" based on four features

Model Hyperparameter Tuning w/ MLFlow

"RetenX is a Machine Learning–based Employee Attrition Prediction System that helps HR professionals analyze workforce data, identify attrition risks, and take proactive measures for employee retention. The project features data preprocessing, visualization, multiple ML models, and a Flask-based web application."

Program to find the membership factors and the probabilities of connections in a bipartite network adding metadata to the nodes.

One-stop guide to practical machine learning (ML) with real-world examples.

Course work & tutorials for "Machine Learning A-Z™"

Selecting fitted models under epistemic uncertainty [Source Code]

pathpy is an OpenSource python package for the analysis of time series data on networks using higher-order and multi-order graphical models.

Correctly computed entropy, mutual information, surprisal, KL divergence, all-in-one module.

An alternative (smarter) way to perform Cross Validation

Code Library for ML course on Udemy

A library for running Bayesian active model selection on human behavioral experiments

Bike sharing systems are a new generation of traditional bike rentals where the whole process from membership, rental and return back has become automatic. Through these systems, users are able to easily rent a bike from a particular position and return back at another position. Currently, there are about over 500 bike-sharing programs around th…

This repository focuses on machine learning fundamentals, specifically model selection, loss functions, and algorithm suitability.

Text Classification / Sentiment Analysis with Machine Learning

RetenX is a Machine Learning–based Employee Attrition Prediction System that helps organizations identify employees at risk of leaving. It leverages multiple ML models (Random Forest, Logistic Regression, SVM, KNN, XGBoost) to deliver accurate predictions, while offering a clean Flask web interface for ease of use.