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BoxPlot_PET
Monthly_Outliers_PET
BoxPlot_Precipitation
monthly Outliers Detections
Boxplot_Discharge_Rate
Outliers Detection
TimeSeries_Discharge_Rate_Variation
How the Discharge Rate(Q), PET, P, Min. & Nax. Time varied over 39 Years
Dimension Reduction and Clustering Analysis on Spotify Dataset
This analysis uses the Spotify dataset to explore and group music tracks based on their audio features. By applying Principal Component Analysis (PCA) for dimensionality reduction and K-Means Clustering, the goal is to uncover patterns and relationships between tracks.
Document
unhcr doc
K-Means
K-Means is one of the most popular clustering techniques in unsupervised learning. The k-means approach uses a mathematical distance metric to group data points into clusters. By switching between allocating data points to clusters based on the existing centroids and selecting centroids based on the current assignment of data points to clusters, K-Means determines the optimal centroids.
Texas_Real_Estate
Analisi del mercato immobiliare del Texas (2010-2014)