Grocery-Shopping using Supervised Learning

Hypothesis:

• Machine learning algorithms can accurately predict when household grocery items will run out, based on historical consumption data and contextual factors.

Choosing an Appropriate ML Algorithm:

Regression:

Regression algorithms are suitable for predicting continuous numerical values like "days_last".

Linear Regression:

• A simple model for linear relationships.
• Suitable for scenarios where the relationship between input variables and output is linear.