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biteduml's Introduction

0. 本项目地址:

https://github.com/bigablecat/biteduML

1. 官方原始链接:

1). 来自**慕课大学,登录官网查看原始资源:
北京理工大学《Python机器学习应用》

2). 官方配套数据集下载地址:
https://pan.baidu.com/s/1eR7doh8

2. 文件目录说明:

1). raw_materials/ # 包含本课程的所有原始资料
2). studynotes/ # 对所有代码进行了详尽注释(未完待续)

3. 项目列表和链接:共包含19个主题

  1. k-means聚类-城市收入 (路径: biteduML/studynotes/kmeans-city/kmeans_city.py)
  2. DBSCAN聚类-上网时长(路径: biteduML/studynotes/dbscan-onlinetime/onlinetime.py)
  3. 降维PCA-鸢尾花(路径: biteduML/studynotes/pca-iris/pca-iris.py)
  4. 降维NMF-人脸图像(路径: biteduML/studynotes/nmf-face-image/nmf.py)
  5. Kmeans图像分割(路径: biteduML/studynotes/kmeans-image-segmentation/image-segmentation.py)
  6. KNN分类器(路径: biteduML/studynotes/classifier-knn/knn.py)
  7. 决策树分类器(路径: biteduML/studynotes/classifier-decision-tree/decision_tree.py)
  8. 朴素贝叶斯分类器(路径: biteduML/studynotes/classifier-naive-bayes/navie_bayes.py)
  9. 分类器-运动状态实例(路径: biteduML/studynotes/classifier-sports-data/classifier_sports_data.py)
  10. SVM-上证指数预测(路径: biteduML/studynotes/svm-stock/svm_stock.py)
  11. Linear Regression线性回归-房价与房屋尺寸(路径: biteduML/studynotes/regression-house-prices/linear_regression_house_prices.py)
  12. Polynomial Regression多项式回归-房价与房屋尺寸(路径: biteduML/studynotes/regression-house-prices/polynomial_regression_house_prices.py)
  13. 监督学习-岭回归-交通流量(路径: biteduML/studynotes/ridge-regression-traffic/ridge-regression-traffic.py)
  14. 神经网络-手写识别 (未完待续)
  15. knn-手写识别 (未完待续)
  16. 强化学习 (未完待续)
  17. 深度神经网络tensorflow-flappy bird游戏 (未完待续)
  18. 期末大作业1: 分类任务 (未完待续)
  19. 期末大作业2: 深度神经网络实现俄罗斯方块 (未完待续)

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biteduml's Issues

数据集链接失效

   你好,原始数据下载地址中的百度云链接已失效,有新的链接可以发一遍吗? 没有数据集,里面的代码基本上都跑不了。  谢谢!!!

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