All Projects
Project 5: Titanic Survival Prediciton
Brief of Project: A machine learning project predicting Titanic passenger survival using classification models in Google Collab.
Problem Statement: Built a predictive model to determine passenger survival based on demographic and socio-economic features from Titanic dataset.
Project 6: Movie Rating Prediction
Brief of Project: Built a machine learning model to predict movie ratings based on genre, cast, director, and other metadata.
Problem Statement: Predicting the IMDb-style rating of a movie before release to help stakeholders make informed marketing and budgeting decisions.
Project 7: Iris Flower Classification
Brief of Project: Developed a classification model to identify iris flower species based on petal and sepal dimensions.
Problem Statement: To accurately classify the type of iris flower (Setosa, Versicolor, or Virginica) using machine learning on the classic Iris dataset.
Project 8: Credit Card Fraud Detection
Brief of Project: Built a machine learning model to detect fraudulent transactions from anonymized credit card data.
Problem Statement:This project aims to detect Credit card Frauds using historical transaction data and anomaly detection methods.
Project 9: Speed Detection System
Brief of Project: A system for detecting and monitoring vehicle speed using OpenCV.
Problem Statement: The project aims to automate speed detection of vehicles using video processing to monitor traffic and enforce speed regulations efficiently.