A carefully curated collection of machine learning notes, resources, projects, and datasets designed to guide you through the ML landscape effectively.

Materials for the the Analyzing Time Series at Scale with Cluster Analysis in R Workshop

About Perplexify is an AI-powered search engine. It is an Open source alternative to Perplexity AI

Neural Dimensionality Tracker (NDT) is a production-ready Python library for high-frequency monitoring of neural network representational dimensionality during Neural Networks training

Car Detector using SVM and classical image processing techniques

Customer Personality Analysis is a detailed analysis of a company’s ideal customers. It helps a business to better understand its customers and makes it easier for them to modify products according to the specific needs, behaviors and concerns of different types of customers.

The first stage of face recognition models, this model was done only with the knn algorithm on the Olivetti faces dataset, which has reached a suitable accuracy.

🎨 ArtGenre-Classifier: Machine learning library developed from scratch in C with Python interoperability (ctypes). Complete application for classifying artistic movements (Cubism, Renaissance, Surrealism) using Linear, PMC, and RBF models.

Binary VPN Traffic Detection Using Wavelet Features and Machine Learning

Replate: The Recipe Waste Solution - Transforming Leftovers into Culinary Delights, Reducing Food Waste for a Sustainable Future!

An end-to-end serverless pipeline for Intelligent Document Processing (IDP) using Amazon Bedrock and Anthropic Claude 3 Sonnet. This project extracts structured data from scanned documents (e.g., PDFs, forms, invoices) using GenAI models, and stores results in a scalable cloud-native architecture.

An interactive, browser-based platform for no-code time-series analysis and forecasting. Upload data, run statistical tests, and visualize predictions from models like ARIMA, powered by a high-performance WebAssembly (WASM) engine.

This project uses Logistic Regression on the Wisconsin Breast Cancer Dataset (30 features, 569 observations) to predict tumor malignancy, integrated into a Streamlit web app for real-time diagnosis.

Bike rentals predictions by using live data from Api's with lightgbm regressor.

This project addresses the growing need for intelligent industrial maintenance systems. By applying machine learning techniques, we aim to detect anomalies in machine behavior, predict machine failures, estimate Remaining Useful Life (RUL), and schedule maintenance tasks based on priority—enhancing reliability and minimizing downtime.

My Machine learning and deep learning projects and templates

Domain adaptation of synthetic document images using neural networks

Collection of the coolest resources and websites to learn stuff and get your work done !!!

Several implementations of machine learning models with accompanying reports. Covers both classical machine learning (regression, probabilistic learning) and deep learning (AlexNet, ResNet, etc.).

TwinMetricsAI is an end-to-end Machine Learning web application that predicts a country’s Human Development Index (HDI) and Happiness Index using socio-economic indicators. The application is built with Streamlit and powered by robust ensemble ML models.