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

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

Car Detector using SVM and classical image processing techniques

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

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

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.

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 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.

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.

Score-Informed Geometric Momentum Adaptation (SIGMA) - Framework for stochastic optimization via a geometric convexity score in the loss function

Domain adaptation of synthetic document images using neural networks

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

My Machine learning and deep learning projects and templates

Here are 50 Python-related algorithms and programming problems that focus on data science. Solving these will help you develop the skills needed for data manipulation, algorithm design, and basic machine learning tasks

Books recommendation web application, using hybrid filtering approach and deployed using Streamlit