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ZhenhHuang/sunrise-machine-learning

Machine learning for undergraduate students.

Sunrise Lab Machine Learning

Datasets can be seen in data and Jupyter notebooks are in Notebook. Deep Learning parts are in here.

Introduction

We implement several machine learning algorithms as follows:

  1. KNN
  2. Decision Tree
  3. Linear models for regression
  4. Linear models for classification
  5. Naive Bayes
  6. Probability distribution
  7. Mixture models
  8. Gaussian Process
  9. DNN for classification and regression

Get Started

git clone https://github.com/H-Joker/sunrise-machine-learning-2022.git
cd sunrise-machine-learning-2022
conda create -n ml python=3.9.0
conda activate ml
pip install -r requirements.txt

Languages

Jupyter Notebook98.6%Python1.4%

Contributors

Created March 21, 2022
Updated November 14, 2024