hteeter13 / teeterfinalcustomeranalysis

Lab | Customer Analysis Final Round

For this lab, we still keep using the file that you downloaded from the original link. The purpose now is to present a clean version of the entire process. You should have a notebook that runs from beginning to end with no errors in the correct order. The notebook should contain comments, decisions, and headings which clearly show the process from start to finish.

It's time to put it all together. Remember the previous rounds and follow the steps as shown in previous lectures.

01 - Problem (case study)

• Data Description.
• Goal.

02 - Getting Data

• Read the .csv file.

03 - Cleaning/Wrangling/EDA

• Change headers names.
• Deal with NaN values.
• Categorical Features.
• Numerical Features.
• Exploration.

04 - Processing Data

• Dealing with outliers.
• Normalization.
• Encoding Categorical Data.
• Splitting into train set and test set.

05 - Modeling

• Apply model.

06 - Model Validation

• R2.
• MSE.
• RMSE.
• MAE.

07 - Reporting

• Present results.