Data science analysis of the Berlin Airbnb dataset of 2018
It concerns in:
- Data pre-processing and dataset explanation
- Dimensionality reduction: PCA
- General data pre-processing
- Classification algorithms:
- SVM
- Decision Tree
- Random Forest
- KNN
- Regression algorithms:
- Linear Regression
- Decision Tree
- Random Forest
The project is developed in python, with the support of specific libraries like sklearn, pandas, matplotlib and numpy. The analysis is collected in a sort of report, inside the jupyter-notebook, that contains HTML, python and Latex code.