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