top of page
Aspiring data scientist with a human centered approach
Basic House Price Prediction
In this project, I practice working with pandas DataFrames and train a linear regression model to predict house prices using data such as the number of bedrooms and bathrooms and floors and other metrics including square feet and zipcode. Then, I assess the performance of my models by looking at root mean squared error.
House Pricing Prediction: Welcome
Next Iteration: Feature Engineering and Comparing Types of Regression
In the next iteration of this project, I looked at the effect of using regularization on linear regression models. I trained Ridge and LASSO models that use different regularizers and different penalties and analyzed how that affected the model.
House Pricing Prediction: Text
bottom of page