Ebuy Project

Inspiration

From our personal experience, we thought of possible factors that would affect the consumption pattern of consumers. And these included holidays (public and school holidays) as more individuals would take the time to spend it with their families in restaurants as well as weekends. During weekends, the working adults, that tend to purchase a greater quantity of goods are available.

What it does

It predicts the quantity of goods that will be consumed and the rough estimate on the ingredients that store owners may consider purchasing.

How we built it

We built it using a simple random forest regressor, taking in days, months, holidays as an input.

Challenges we ran into

We tried different models to carry out time series forecasting, however, we were not able to obtain the predicted result for every date.

Accomplishments we are proud of

Even though our results may not be the most ideal, our team still persevered by choosing alternative ways to solve the problem.

What we learned

We learned how to clean data in an efficient manner

Built With

• python
• scikit-learn