Restaurant-Forecasting

Predict top 'Menu Item' and 'Item Qty' for lunch and dinner. These predictions need to be for future dates (Monday to Sunday, July 1st to July 7th)

Methods Used

• Machine Learning
• Data Visualization
• Predictive Modeling

Technologies

• Python
• Keras
• Pandas, jupyter

Data

Restaurent.csv

• The dataset is for restaurant sales for Friday and Saturday, both lunch and dinner time. There are few instances of 'To-Go' orders like Uber Eats in this dataset.
• The columns are self-explanatory
• typical lunch hour is 11:30AM-2:00PM, and dinner hour is 6:30PM-10:00PM
• item_qty is the target fields and shift, party_size, menu_category, menu_item, item_price are Features fields.

We need to predict the menu item and item quantity in the duration: July 1st, 2019 to July 7th, 2019. 

Getting Started

1. Clone this repo

2. See Notebook 1: PredictResto to examine raw data, EDA, preliminary cleaning steps, feature engineering, modeling, and evaluation of predictions.

Result: