I have created face recognition system using openCV and numpy library . the project is bascially in two parts 1) collecting samples of your face(Face_Recognition_part1) and 2) Training your model and generating output as Locked(when face does not match) and unlocked (when face match) and face not found(when it could not detect your face)
A curated list of awesome Machine Learning frameworks, libraries and software.
Back propagation algorithm to predict the weather condition(Sunny, Cold, Cloud, Rainy)
This project features a dynamic and intelligent chatbot developed using Gemini's advanced language processing capabilities, combined with OpenAI's API for enhanced conversational depth and accuracy.
Metaheuristics feature selection library for machine learning feature selection. Genetic Algorithm, Simulated Annealing, Particle Swarm Optimization, and Ant Colony Optimization
Telecom Customer Churn Prediction This repository contains a machine learning project focused on predicting customer churn in the telecommunications industry. By leveraging a dataset of customer demographics and usage patterns, we develop and deploy a predictive model to identify customers at risk of leaving the service.
ganesh kavhar python projects..
An attendance management system using face recognition and machine learning is a system that helps many schools and colleges to mark students' attendance effortlessly and without missing any students
A machine learning project that predicts salaries based on candidate profiles and evaluates resumes using NLP techniques. It combines regression models and resume scoring logic to assist in data-driven recruitment decisions.
Neurova AI - Revolutionizing Healthcare with AI (Trial Period) 🔥
EC60091-Machine Intelligence & Expertise Systems Course,Autumn-2019
Final year engineering project based on image segmentation using multi spectral and panchromatic images of Mumbai obtained using IKONOS satellite
MovieMind is a cinematic AI-powered movie recommendation platform with authentication, animated UI, and intelligent similarity-based movie discovery built using React, Node.js, and modern UI/UX principles.
The purpose of this project is to use machine learning to predict the presence of heart disease in patients based on various clinical features.
In this project we are trying to solve a classification problem where we need to check that a particular wafer sensor is active or not after which we would do CICD using CircleCi
Built a Multiple Linear Regression model using Scikit-learn to predict employee salaries based on experience and working hours. Evaluated performance using MAE, MSE and R2 Score and visualized results using Matplotlib.
A streamlit based WebApp to automate basic Machine Learning activities like data_profiling, ML model training, Model comparison and download of the best model to predict the selected target.
End-to-end California house price prediction using Random Forest Regression, Scikit-learn preprocessing, hyperparameter tuning, and MAE evaluation.
Real-Time Energy Demand & Price Forecaster for European bidding zones (DE-LU, FR, GB). Production-grade MLOps project: Kedro pipelines, MLflow registry, Feast feature store, Prefect orchestration, FastAPI serving — running locally first, with Azure adapters added in later phases.
Machine Learning Use Cases .
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