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.

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

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.

This repository contains classification model for insurance claim

Domain adaptation of synthetic document images using neural networks

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

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

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

Stochastic gradient descent algorithm basics and python code

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

An emotion detection CNN-based model that can detect emotions from images in real-time

A personal repo to store my .ipynb files related to Machine Learning A-z Course

Helps to generate ML cookiecutter structure using Rust

This project focuses on object recognition and classification in photographs using deep learning techniques. The CIFAR-10 dataset, which contains 60,000 32x32 color images in 10 classes, is used for training and testing the Convolutional Neural Network (CNN) model.