Python机器学习（代码+数据）

[{"title":"（ 23 个子文件 2.49MB ） Python机器学习（代码+数据）","children":[{"title":"salary.csv <span style='color:#111;'> 176B </span>","children":null,"spread":false},{"title":"data.csv <span style='color:#111;'> 399B </span>","children":null,"spread":false},{"title":"NaNDataset.csv <span style='color:#111;'> 48B </span>","children":null,"spread":false},{"title":"Chapter 2 - NumPy.ipynb <span style='color:#111;'> 25.65KB </span>","children":null,"spread":false},{"title":"svm.csv <span style='color:#111;'> 37B </span>","children":null,"spread":false},{"title":"diabetes.csv <span style='color:#111;'> 22.56KB </span>","children":null,"spread":false},{"title":"Chapter 4 - matplotlib.ipynb <span style='color:#111;'> 496.63KB </span>","children":null,"spread":false},{"title":"Chapter 8 - Supervised Learning—Classification Using Support Vector Machines.ipynb <span style='color:#111;'> 1.03MB </span>","children":null,"spread":false},{"title":"Chapter 3 - Pandas.ipynb <span style='color:#111;'> 47.09KB </span>","children":null,"spread":false},{"title":"NormalizeColumns.csv <span style='color:#111;'> 62B </span>","children":null,"spread":false},{"title":"Chapter 5 - Getting Started with Scikit-learn for Machine Learning.ipynb <span style='color:#111;'> 131.88KB </span>","children":null,"spread":false},{"title":"polynomial.csv <span style='color:#111;'> 35B </span>","children":null,"spread":false},{"title":"knn.csv <span style='color:#111;'> 47B </span>","children":null,"spread":false},{"title":"BMX_G.csv <span style='color:#111;'> 915.70KB </span>","children":null,"spread":false},{"title":"kmeans.csv <span style='color:#111;'> 79B </span>","children":null,"spread":false},{"title":"Chapter 7 - Supervised Learning—Classification Using Logistic Regression.ipynb <span style='color:#111;'> 295.56KB </span>","children":null,"spread":false},{"title":"Chapter 6 - Supervised Learning — Linear Regression.ipynb <span style='color:#111;'> 836.08KB </span>","children":null,"spread":false},{"title":"DuplicateRows.csv <span style='color:#111;'> 73B </span>","children":null,"spread":false},{"title":"Chapter 12 - Deploying Machine Learning Models.ipynb <span style='color:#111;'> 152.61KB </span>","children":null,"spread":false},{"title":"house_sizes_prices_svm.csv <span style='color:#111;'> 134B </span>","children":null,"spread":false},{"title":"drivinglicense.csv <span style='color:#111;'> 147B </span>","children":null,"spread":false},{"title":"Chapter 10 - Unsupervised Learning—Clustering Using K-Means.ipynb <span style='color:#111;'> 220.57KB </span>","children":null,"spread":false},{"title":"Chapter 9 - Supervised Learning—Classification Using K-Nearest Neighbors (KNN).ipynb <span style='color:#111;'> 98.03KB </span>","children":null,"spread":false}],"spread":true}]