Social media buzz prediction

Task

Having data describing media events, the goal of this project was to predict the mean number of active discussions.

Data

Data is described in datadescription.en.txt file.

Solution

Solution consists of following steps:

1. Correlation matrix
2. PCA
3. Standardization
4. Box plots
5. Calculating outliers with Chauvenet's criterion
6. Multi Layer Perceptron
7. Recurrent Neural Network
8. Ridge Regression
9. ElasticNet regression
10. XGBoost
11. Box-Cox transformation

Best Results

Model	RMSE	MAE	R^2
XGBoost	165.07	52.84	0.9

Documentation in Polish

1. documentation.pdf

Co-authors

Ula Żukowska Monika Zielińska

Info

Project is done as a part of course "Introduction to Data Processing" at Warsaw University of Technology.

Mark: 4.5/5