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1. cs189-hw4 cs189-hw4 Public

   Implemented logistic regression with gradient descent as the optimization algorithm

   Python 1

2. cs189-hw1 cs189-hw1 Public

   Build classifiers using Support Vector Machine (SVM) for SPAM and CIFAR-10 dataset

   Jupyter Notebook 1

3. neural-network neural-network Public

   Engineered a feed-forward fully-connected network and a convolutional neural network from scratch in Numpy for size 70,000+ MNIST dataset and size 60,000+ CIFAR-10 dataset respectively; achieving 8…

   Python

4. cs189-hw5 cs189-hw5 Public

   Implemented decision tree and random forest in Python; applied those to SPAM and Titanic dataset on Kaggle

   Python

5. cs189-hw3 cs189-hw3 Public

   Built classifier based on Gaussian discriminant analysis and Linear discriminant analysis

   Jupyter Notebook

6. cs61c-proj3 cs61c-proj3 Public

   Built a CPU that runs actual RISC-V instructions and has pipelining in place for higher efficiency

   Python