Introduction To Machine Learning and Data Mining course project concerning the principles of data analysis. The project has been divided into two parts with titles:
- Data: Feature extraction and visualization,
- Supervised learning: Classification and regression.
For the given dataset the proccesses of data description, PCA analysis, regression and classification have been conducted. Descriptive analysis can be found in files Report1.pdf and Report2.pdf.
In order to correctly run the scripts:
- download the dataset from link,
- create folder data in the root directory,
- unzip and move the ObesityDataSet_raw_and_data_sinthetic.csv file to the data folder.
Used dataset concerns the problem of obesity in the countries of Mexico, Peru and Colombia. Comprehensive description on how the data was gathered can be found here.