- Importing Data
- Import of Data (csv file) using Pandas
- Understanding the data
- Data Wrangling
- Analyzing Dataset values
- Finding an replacing NaN values
- Exploratory Data Analysis
- Using functions to obtain value count of houses that fall under certain conditions
- Plotting data to check for the presence of outliers
- Understanding correlation in the data
- Model Development
- Scaling the data
- Fitting a Regression Model
- Predictions using a list of features
- Obtaining R^2 value and analysing this score
- Model Refinement and Evaluation
- Splitting the data into training and testing data
- Using Ridge regression to introduce a regularization parameter
- Fitting a regression model
- Making predictions using data
- Obtaining a score to check the performance of model
- Refining the model by performing a polynomial transform on the data
- Analyzing the model performance
