Predicting House Prices Using Machine Learning Techniques

To analyze the impact of education levels on house prices

To implement various machine learning algorithms to predict house prices based on education data

To evaluate the performance of different machine learning models in predicting house prices

Collect and preprocess data on house prices and education levels

Explore the relationship between education levels and house prices using data visualization techniques

Implement different machine learning algorithms such as linear regression, decision trees, and random forests

Evaluate the performance of each model using metrics like mean squared error and R-squared

Compare and contrast the results of different machine learning models

Write a report detailing the impact of education on house prices and the effectiveness of machine learning techniques in predicting house prices.