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1. Linear-Regression-Model-Evaluation Linear-Regression-Model-Evaluation Public

   Focused on linear regression modeling, including normalization, error evaluation, and gradient descent.

   Jupyter Notebook

2. Neural-Networks-Deep-Learning Neural-Networks-Deep-Learning Public

   Introduced neural networks, CNNs, RNNs, and gradient descent fundamentals using ISLP data.

   Jupyter Notebook

3. PlotAlgorithmicComplexity PlotAlgorithmicComplexity Public

   Measure time complexity of common search and sort algorithms

   Python

4. Decision-Trees-KMeans Decision-Trees-KMeans Public

   Implemented decision trees for classification and K-means clustering for unsupervised learning.

   Jupyter Notebook

5. yarn_scraper yarn_scraper Public

   Web scraper to pull top results from yarn.com

   Python

6. ParallelDataStructure ParallelDataStructure Public

   MPI-based implementation of a parallel data structure with ghost points, designed to efficiently manage data exchange for stencil computations.

   C++