Information Systems: OverviewCovers the overview of information systems, data modeling, managing data, and the distinction between data and information.
Unsupervised Behavior ClusteringExplores unsupervised behavior clustering and dimensionality reduction techniques, covering algorithms like K-Means, DBSCAN, and Gaussian Mixture Model.
Advanced C Data TypesCovers advanced data types and memory management in C programming, emphasizing type consistency and dynamic array allocation.
Clustering & Density EstimationCovers dimensionality reduction, clustering, and density estimation techniques, including PCA, K-means, GMM, and Mean Shift.
Python BasicsCovers Python basics, Git, control structures, functions, file handling, and debugging using PDB.