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Tutorial accompanying the youtube video .. meant for educational purposes. The Machine Learning done in this project is very simplistic and the repo is meant to shortly show how to build a ML API.

Open-source platform for collaborative learning in Data Science, ML/AI, and Cloud Computing. Build your portfolio with real-world projects.

An rigorous, well documented machine learning analysis pipeline for binary classification datasets assembled as a Jupyter Notebook. Includes exploratory analysis, data processing, feature processing, ML modeling (9 algorithms, including the original ExSTraCS algorithm) with hyperparameter sweeps,... Read more

🤖 The complete free AI learning roadmap — from beginner to advanced. Covers core ML/DL/LLMs and applied AI tools, prompting, agents, automation. 100+ free resources.

🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scientific problems by embedding physical laws directly into models. Includes projects on discovering the Burgers equation, using PINNs for PDEs, and employing SINDy... Read more

The library provides a set of tools and functions for various subject areas, including Analysis and Data Structures (AISD), Probability Theory and Mathematical Statistics (TViMS), Machine Learning (ML), and Numerical Methods (NM).

Personal website and portfolio built with plain HTML and CSS. Showcases selected machine learning projects, applied data work, and short notes on evaluation, forecasting, and building practical ML systems. Hosted with GitHub Pages.

A comparative analysis of 4 ML algorithms. This Hypertension Risk Prediction Model can be described as a machine learning model designed to predict an individual's risk of developing hypertension based on various input parameters.

Employee turnover (attrition) is a major cost to an organization, and predicting turnover is at the forefront of needs of Human Resources (HR) in many organizations. Until now the mainstream approach has been to use logistic regression or survival curves to model employee attrition. However, with... Read more

This repository hosts the source code and dataset for predicting air quality using AQI values. It includes an initial Exploratory Data Analysis (EDA) followed by a comparative analysis of four machine learning models: KNN, Naive Bayes Classifier, Random Forest Classifier, and Extreme ML.