北京理工大学<Python机器学习应用>超详细学习笔记和代码注释(未完待续).zip

#### 0. 本项目地址: [https://github.com/bigablecat/biteduML](https://github.com/bigablecat/biteduML) #### 1. 官方原始链接： 1). 来自中国慕课大学,登录官网查看原始资源： [北京理工大学《Python机器学习应用》](http://www.icourse163.org/course/BIT-1001872001) 2). 官方配套数据集下载地址： [https://pan.baidu.com/s/1eR7doh8](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 01. [k-means聚类-城市收入](https://github.com/bigablecat/biteduML/blob/master/studynotes/kmeans-city/kmeans_city.py) (路径: biteduML/studynotes/kmeans-city/kmeans_city.py) 02. [DBSCAN聚类-上网时长](https://github.com/bigablecat/biteduML/blob/master/studynotes/dbscan-onlinetime/dbscan_onlinetime.py)(路径: biteduML/studynotes/dbscan-onlinetime/onlinetime.py) 03. [降维PCA-鸢尾花](https://github.com/bigablecat/biteduML/blob/master/studynotes/pca-iris/pca_iris.py)(路径: biteduML/studynotes/pca-iris/pca-iris.py) 04. [降维NMF-人脸图像](https://github.com/bigablecat/biteduML/blob/master/studynotes/nmf-face-image/nmf_face_image.py)(路径: biteduML/studynotes/nmf-face-image/nmf.py) 05. [Kmeans图像分割](https://github.com/bigablecat/biteduML/blob/master/studynotes/kmeans-image-segmentation/kmeans_image_segment.py)(路径: biteduML/studynotes/kmeans-image-segmentation/image-segmentation.py) 06. [KNN分类器](https://github.com/bigablecat/biteduML/blob/master/studynotes/classifier-knn/knn.py)(路径: biteduML/studynotes/classifier-knn/knn.py) 07. [决策树分类器](https://github.com/bigablecat/biteduML/blob/master/studynotes/classifier-decision-tree/decision_tree.py)(路径: biteduML/studynotes/classifier-decision-tree/decision_tree.py) 08. [朴素贝叶斯分类器](https://github.com/bigablecat/biteduML/blob/master/studynotes/classifier-naive-bayes/navie_bayes.py)(路径: biteduML/studynotes/classifier-naive-bayes/navie_bayes.py) 09. [分类器-运动状态实例](https://github.com/bigablecat/biteduML/blob/master/studynotes/classifier-sports-data/classifier_sports_data.py)(路径: biteduML/studynotes/classifier-sports-data/classifier_sports_data.py) 10. [SVM-上证指数预测](https://github.com/bigablecat/biteduML/blob/master/studynotes/svm-stock/svm_stock.py)(路径: biteduML/studynotes/svm-stock/svm_stock.py) 11. [Linear Regression线性回归-房价与房屋尺寸](https://github.com/bigablecat/biteduML/blob/master/studynotes/regression-house-prices/linear_regression_house_prices.py)(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](https://github.com/bigablecat/biteduML/blob/master/studynotes/regression-house-prices/polynomial_regression_house_prices.py)(路径: biteduML/studynotes/regression-house-prices/polynomial_regression_house_prices.py) 13. [监督学习-岭回归-交通流量](https://github.com/bigablecat/biteduML/blob/master/studynotes/ridge-regression-traffic/ridge-regression-traffic.py)(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)