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Property investment is highly valued by realtors, investors, families, renters, and landlords, each seeking to maximize their financial outcomes. Our objective was to develop methods for forecasting home values, using Zillow’s Home Value Index (ZHVI) as a proxy.

The Stock Sentiment Analysis project is a machine learning application that predicts stock price movements by analyzing the sentiment of news articles. Using NLP techniques, it scans and interprets headlines and reports to detect emotional tones and correlates them with market trends.

This project is a comprehensive analysis of the US housing market, including data collection, cleaning, and analysis and visualization. It uses various techniques to understand the market trends and patterns.