Description Client is looking for ways to improve backorders handling. With the help of this analysis, a reasonable prediction on the products that can go on backorder is expected. Such a prediction could immensely help client to plan for a more effective stocking and backorder handling.
Below tasks are performed
• Data Wrangling
Handling inconsistent column names and datatype
Missing Data handling
Removal of duplicate rows
Handling columns with repetitive values
Handling the outliers
Write the clean data into a new file for further steps
• Data trend analysis
Relationship among features
Data questioning
• Model training and validation
train-test split of the data
Model training
Model Tuning and cross validation