machine-learning-project

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

This application aims to early detection of lung cancer to give patients the best chance at recovery and survival using CNN Model.

This project focuses on predicting the prices of Bitcoins, the most in-demand cryptocurrency of today's world.

Estimated annual CO2 emissions from diesel generators at mobile or cell towers

This project guides the user till they perform correct yoga pose.

Moving Object Detection with python using openCV

based on the befitting sensors fetched data, prediction is to be made whether the failure in a vehicle is due to APS or some other component. Emphasis is on reducing the consequential cost by reducing the false positives and false negatives and more importantly false negatives as it appears cost incurred due to them is 50 times higher.

This is my Sem 7 ML Lab Project. For complete details, kindly check the below README File.

🚀predictocare a machine learning-based breast cancer detection system achieving 97% accuracy using the breast cancer wisconsin dataset.

End-to-end NLP and machine learning project for classifying SMS messages as Spam or Ham using text preprocessing, TF-IDF, Logistic Regression, and hyperparameter tuning.

Built an AI-powered resume screening system that parses resumes, auto-detects job roles, and ranks candidates based on skill, experience, and education match using Python and Streamlit.

Machine learning study of heart disease prediction using clinical data, model comparison, preprocessing, and evaluation.

A beginner-friendly Machine Learning project that classifies customers into spending segments using K-Nearest Neighbors and StandardScaler.

An all usage Topic Modelling system for any English database

This application aims to early detection of lung cancer to give patients the best chance at recovery and survival using CNN Model.

A machine learning project for detecting fraudulent credit card transactions with real-time monitoring, risk scoring, and dashboard visualization.

A data analysis and visualization project that transforms poll/survey data into interactive charts and insights using Python and Streamlit.

Machine learning project for predicting California house prices using Linear Regression and Scikit-learn.

Movie Recommendation based on movie plot using LDA Topic Modelling

End-to-end E-Commerce Analytics & Machine Learning Dashboard built with Python, Selenium, Scikit-learn, and Streamlit. Includes data scraping, preprocessing, EDA, ML prediction, PCA analysis, and product recommendations.