- HW1: Evaluating bounds of Euclidean and Manhattan distances for n d-dimensional arrays.
- HW2: Text clustering using k-means with eigenvalue decomposition.
- HW3: Regularized Linear models (both Lasso and Ridge implementations), as well as Spectral Clustering implementation with Networkx.
- HW4: Implementation of Flajolet Martin algorithm for counting highest trailing zeros; Bloom Filter for spam detection; MapReduce for Locality-Sensitive Hashing (LSH); Jaccard Similarity between k-shingles.
- Project: Network analysis of Amazon's co-purchased products (Stanford Network Analysis Library).
-
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Topics: Network Analysis with NetworkX, Regularization and Resampling Methods, Non-cryptographic Hashing Algorithms, Machine Learning, and Natural Language Processing
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