DDAM Project

Project for Distributed Data Analysis and Mining A.A. 2021/22

The Australia,Rain Tomorrow Dataset

The file contains daily Weather Observations list observations of a number of weather elements each day for years 2008 to 2017.

Project Goals:

to achieve an unsupervised study, by using a clustering algorithm, of the entire dataset in order to individuate the common features of the weather observations
partition of the dataset both in political regions and by geographical coordinates
prediction of RainTomorrow target variable, both in the original dataset and in the obtained clusters, with the achievement of several classification models
prediction of Risk_MM variable, which indicates the rainfall level the day after in millimeters, by using some regression models

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
Data		Data
1.Data Understanding.ipynb		1.Data Understanding.ipynb
2.Data Preparation.ipynb		2.Data Preparation.ipynb
3.Classificazione globale.ipynb		3.Classificazione globale.ipynb
4.KMeans + classificazione per Cluster.ipynb		4.KMeans + classificazione per Cluster.ipynb
5.Clustering geografico + classificazione per cluster.ipynb		5.Clustering geografico + classificazione per cluster.ipynb
6.Classificazione per regione politica		6.Classificazione per regione politica
7.Regressione livello precipitazioni.ipynb		7.Regressione livello precipitazioni.ipynb
README.md		README.md
Report.pdf		Report.pdf