Python机器学习.rar （23个子文件） 
salary.csv 176B data.csv 399B NaNDataset.csv 48B Chapter 2 - NumPy.ipynb 26KB svm.csv 37B diabetes.csv 23KB Chapter 4 - matplotlib.ipynb 497KB Chapter 8 - Supervised Learning—Classification Using Support Vector Machines.ipynb 1.03MB Chapter 3 - Pandas.ipynb 47KB NormalizeColumns.csv 62B Chapter 5 - Getting Started with Scikit-learn for Machine Learning.ipynb 132KB polynomial.csv 35B knn.csv 47B BMX_G.csv 916KB kmeans.csv 79B Chapter 7 - Supervised Learning—Classification Using Logistic Regression.ipynb 296KB Chapter 6 - Supervised Learning — Linear Regression.ipynb 836KB DuplicateRows.csv 73B Chapter 12 - Deploying Machine Learning Models.ipynb 153KB house_sizes_prices_svm.csv 134B drivinglicense.csv 147B Chapter 10 - Unsupervised Learning—Clustering Using K-Means.ipynb 221KB Chapter 9 - Supervised Learning—Classification Using K-Nearest Neighbors (KNN).ipynb 98KB
- 1
- 2
前往页