Data Science

Data Modeling with Postgres

Build a Relational Database using Star Schema of song's users activities data.

K-means Clustering - Algorithm, Applications, Evaluation Methods, and Drawbacks

-- Overview Clustering Kmeans Algorithm Implementation Applications Geyser's Eruptions Segmentation Image Compression Evaluation Methods Drawbacks Conclusion Clustering Clustering is one of the most common exploratory data analysis technique used to get an intuition about the structure of the data. It can be defined as the task of identifying subgroups in the data such that data points in the same subgroup (cluster) are very similar while data points in different clusters are very different.