NWPU machine-learning
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README.EN.md

Machine Learning - Homework and Report

This material is the homework and report for course Machine Learning. To master the course better, it is necessary to do programming practices, therefore, everyone need to do the homework and report diligently. Through these practices capabilities of problem solving of self learning can be boosted.

Please refer following help for submitting homework/report, also instructions of git and markdown are also included.

Submitting Instructions

  1. Fork the project to your project
  2. Use git clone to download the forked project
  3. Write your code and report into the corresponding directories
  4. Upload your code & report through git push ...
  5. If the homework or report are updated by teacher, you can do the following steps to newest version
git remote add upstream git@gitee.com:pi-lab/machinelearning_homework.git
git pull upstream master
  1. Create a file named with name.txt (UTF-8 encoding) under the root directory of the project. Please write your name and ID as:
Shuhui Bu
2011010101

Homework

  1. Python
  2. numpy & matplotlib
  3. kmeans
  4. logistic regression
  5. neural networks

Report

  1. Traffic accident claims review forecast

  2. Titanic

  3. Fashion

  4. Tetris

  5. Jigsaw-Puzzle

  6. Sudoku

Manuals/Tutorials