Rossmann Sales Prediction

• Tech Stack: Python, Jupyter, NumPy, Pandas, matplotlib, Seaborn, Plotly
• Github URL: Project Link

1. Develop a secondary project to forecast the number of customers in the store in the next six weeks and use the model output as input in this sales forecast project.

2. There was a maximum of 7388 customers in a single day and there are competitors only 20 meters away.

3. XG Boost performed best as compared to other models with R2-Score for test dataset = 0.97

4. Linear Regression also performed fairly well. R2-Score for test dataset = 0.81

5. Use a more sophisticated hyperparameter fine tuning technique.