This repository contains various machine learning projects, demonstrating different techniques and methods. Each project is well-documented and includes the necessary code, analysis, and results. Below is a list of the projects available in this repository:
This project analyzes the Titanic dataset to understand passenger demographics and survival rates.
This project uses the California Housing dataset to predict housing prices based on various features such as the average income, house age, and number of rooms.
This project uses the MNIST dataset to classify images of handwritten digits using Convolutional Neural Networks (CNNs).
This project uses the IMDB dataset to analyze the sentiment of movie reviews (positive/negative) using Long Short-Term Memory (LSTM) networks.