The 80/20 rule has proven true for many businesses–only a small percentage of customers produce most of the revenue. As such, marketing teams are challenged to make appropriate investments in promotional strategies.Analyzing a Google Merchandise Store (GStore) customer dataset to predict revenue per customer.
- Exploring the given Dataset and make some inferences
- Normalizing and flattening json columns
- Dropping Constant Columns
- Data Cleaning
- Analyzing the Dataset with statistical analysis
- Data visualization
- Creating a GUI that will represent all the graphs and outputs of the analysis
- Getting started with a lightgbm model
- Aristotelis Pozidis - ArisPoz
This project is licensed under the GNU License - see the LICENSE file for details
- Thesis Project
- International Hellenic University
- Kaggle Competition
- Slides Carnival
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- Thesis
- Thesis Presentation
- Thesis grade : 10