adam2392 / CSE_Classes

Machine Learning class at UCSD for CSE 150. Utilize Matlab and maybe Python for implementation of learning algorithms.

Languages Used: C++, Matlab

Concepts Used: Machine Learning, Bayes Rule, Belief Networks, DAGs, I/O stream, Compression algorithm, Trees

CSE150_ML

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Machine Learning class at UCSD for CSE 150. Utilize Matlab and maybe Python for implementation of learning algorithms. Covers: -Bayes Rule -Belief Networks -Directed Acyclic Graphs and Conditional Probability Tables -Markov Models

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CSE100 (Advanced Data Structures): Compression-Code (2014)

Program Huffman compression algorithm using C++.

Files:

• BitInputStream and BitOutputStream are two files that are used to process bits, rather than bytes.
• Compress and uncompress are the two files that are run that compress a given file, or uncompress a previously compressed file.

Classes:

• HCNode is the node class for this tree, and used to insert, delete, search.
• HCTree is the tree class, and used to initialize root, and build the tree.

*User must write his/her own Make file.