In this notebook I used House Price data from Kaggle.
I permorned following tasks
โข EDA
โข Data Cleaning
โข Predictive Modeling
EDA ๐
In EDA I analysed Shape of data, Description and Information about data.
Data Cleaning ๐งน
While cleaning the data I did following steps โฌ๏ธ
- Dropped dedpendent value that is 'SalePrice'.
- Combined train & test set to maintain consistency
- Dropped unwanted columns like 'Id'.
- By using a function I searched missing values.
- Handled missing values by replacing 'UNKNOWN' to categorical data & Median to Numeric data.
- Rechecked for missing values.
- Performed Encoding for Categorical Feature.
- Splitted data into Train and Test set.
Predictive Modeling ๐ง
Trained model using RedgeCv and XGBoost