Ames Housing dataset with 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges to predict the final price of each home.
1.Exploratory Data Analysis
- EDA to get better understanding of dataset
- Visualization of data
- Understanding the nature of data
- Relationship of features with target variable SalePrice
2.Data Cleaning and Data Preparation
- Dealing with missing values
- Dealing with outliers
- Feature Engineering
- Feature Transformation
3.Predictive Modeling
- Ridge Regression
- Lasso Regression
- ElasticNet Regression
Detailed description of Dataset can be found here: https://www.kaggle.com/c/house-prices-advanced-regression-techniques