This data science project walked through step by step process of how to build a Real Estate Price Prediction Project. I built a model using sklearn and linear regression using banglore home prices dataset from kaggle.com.
During model building I utlized almost all data science concepts such as data load and cleaning, outlier detection and removal, feature engineering, dimensionality reduction, gridsearchcv for hyperparameter tunning and k fold cross validation.
- Python
- Numpy and Pandas for data cleaning
- Matplotlib for data visualization
- Sklearn for model building
- Jupyter notebook and visual studio code and IDE