Python hands on tutorial with 50+ Python Application (10 lines of code) By @xiaowuc2

Machine Learning Project Template - Ready to production

Connect all CCTV cameras to this system to track someone's live location in a premise using facial recognition. It can be also used to maintain records of people entering a premise using their face instead of bio-metrics/cards/manual Entry

Full stack Fake News Detection using machine learning Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

AI-powered Driver Drowsiness Detection System using Computer Vision & Machine Learning for real-time driver alertness monitoring and accident prevention.

Master Your Day with Precision ⏰ | Time Management Tool in Python by @anubhavchaturvedi – Boost productivity and stay organized effortlessly! 🚀 #TimeManagement #Python #ProductivityHacks #CodeWithAnubhav #Efficiency #TechTools #PythonProgramming

plant leaf diseases prediction using four different trained models named pytorch, TensorFlow, Keras and fastai

An AI-powered time management tool built with Python to help users plan, prioritize, and optimize their daily tasks efficiently.

A Deep Learning project for detecting Age and Gender developed using Python and ML.

Implemented a neural network from scratch in Python with just NumPy, no frameworks involved.

An AI-powered time management tool built with Python to help users plan, prioritize, and optimize their daily tasks efficiently.

It is a ML based model to detect fake URLs and QR codes, using adv. data cleaning to improve accuracy. Built a Flask-based RESTful API for real-time fraud checks, allowing easy use in web and web apps. Designed a responsive JS front end to connect with the backend, showing fraud risk scores, confidence levels, and key risk factors for users

Python hands on tutorial with 50+ Python Application (10 lines of code) @xiaowuc2

🤖 A machine learning model to classify emails as spam or not spam using a dataset of email content.

A python web application to read the summarized daily news articles with ML Capabilities

Practical Implementation of various Classification Techniques

A complete machine learning project to detect fraudulent credit card transactions. It includes data preprocessing, feature scaling, model training (Logistic Regression), evaluation, and deployment using Streamlit. Built with modular, production-ready code and a simulated dataset for privacy-safe demonstrations.

Practical Implementation of Clustering Methods

A simple end-to-end ML model application using Falsk, Angular, and docker to predict car price