Project based on E-commerce dataset. This project is about identifying and predicting visitors that would generate revenue for an e-commerce website.
What the model hope to achieve:
- Accurately identifying which features have the biggest impact on visitor purchasing behavior.
- Give a clear and concise insight.
- Provide the appropriate business recommendation based on the results of the analysis.
- Able to adapt to new foreign data.
This work has been finalized, though i plan to improve on it as my understanding increase.
- Using better method to prepare dataset.
- Using new machine learning algorithm.
- Reanalyze result and insight.
Just download the file and run it with your favorite IDE!
Tools needed :
- Python
- Jupyter Notebook or other alternatives (e.g google colab, kaggle, etc)
- Getting data from the source .csv
- Preprocessing
- Modeling
- Evaluation
- Result and recommendations.
- Feedback
- Re-tune
No further adjustment will be made. Check the report here: Ecommerce_Shopping_Behavior
Muhammad Gilang Mahardika - Linkedin_profile