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

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.

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

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.

desktop application utilizes voice fingerprint and spectrogram technology to identify individuals based on their unique vocal characteristics.

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

Binary VPN Traffic Detection Using Wavelet Features and Machine Learning

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.

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.

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

My Machine learning and deep learning projects and templates

Doctor Fee Prediction" is a GitHub repository that scrapes data on doctors from Practo using Beautifulsoup and creates a table with details such as specialties, years of experience, and consultation fees.

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

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

Domain adaptation of synthetic document images using neural networks

API4AI is cloud-native computer vision & AI platform for startups, enterprises and individual developers. This repository contains sample mini apps that utilizes Furniture and Household Stuff Recognition API provided by API4AI.

A Machine Learning project to detect disasters using tweets with NLP and model comparison

A simple project that aims to translate German text into English using a multi-head self-attention transformer model made with pytorch.

A simple Tic-Tac-Toe AI built in Python using PyTorch for learning purposes.