README
This is a repo contains codes and materials developed for the Data Mining (MTAT.03.183) course project at University of Tartu in Fall 2017. The project, ENVISION: Restaurant Visitor Forecasting, defined based on a Kaggle competition.
What materials included?
- Data exploration (in R)
- Visualizations (in R and Python)
- Forecasting using RNN lstm in Keras
How do I get set up?
- For the R implementations you'll need R interpreter (you can open up the R project using R studio)
- The forecasting implemented in Python 3.6 using Pandas, Scikit-learn, and Keras libraries.
Other Materials of the project
- Homework 11 related to the project
- Our Kaggle kernel