Skip to content

Exploratory Data Analysis and Regression Analysis, Created our Machine Learning of Decsion Tree and Linear Regression for Predicting House Prices in Future

Notifications You must be signed in to change notification settings

HUZIBRO/Predicting-Real-Estate-Values-Data-Analysis-and-Price-Forecasting

Repository files navigation

Predicting-Real-Estate-Values-Data-Analysis-and-Price-Forecasting

Conducted thorough exploratory data analysis (EDA) on a comprehensive house prices dataset. Employed Pandas and Numpy for efficient data manipulation, preprocessing, and feature engineering. Visualized key insights and findings using advanced data visualization libraries, Seaborn and Matplotlib. Implemented two powerful machine learning models: Decision Tree Regressor and Linear Regression with Polynomial Features. Evaluated the performance using mean absolute percentage error (MAPE) metric to quantify the accuracy of house price predictions. Conducted and Visualized the comparison between the Decision Tree Regressor and Linear Regression models.

About

Exploratory Data Analysis and Regression Analysis, Created our Machine Learning of Decsion Tree and Linear Regression for Predicting House Prices in Future

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published