文件名称：Feature Engineering for Machine Learning
文件大小：8.33MB
文件格式：RAR
更新时间：2021-05-24 09:35:27
特征 机器学习
Feature Engineering for Machine Learning_Principles and Techniques for Data Scientists(2018.03).A4
【文件预览】：
Feature Engineering for Machine Learning(PDF + Code)
----feature-engineering-book-master()
--------PCA on MNIST digits.ipynb(124KB)
--------Interaction Features Example.ipynb(7KB)
--------K-means featurization.ipynb(350KB)
--------Gaussian filter.ipynb(198KB)
--------Count words.ipynb(213KB)
--------[End-to-End_Example] Recommender_Take_2.ipynb(78KB)
--------Binning.ipynb(123KB)
--------LICENSE(1KB)
--------[End-to-End_Example] Recommender_Take_1.ipynb(67KB)
--------README.md(293B)
--------Regression on Categorical Variable.ipynb(38KB)
--------Tf-idf.ipynb(78KB)
--------HOG image features.ipynb(215KB)
--------Power Transforms.ipynb(84KB)
--------Bin Counting.ipynb(12KB)
--------Log-transformation prediction.ipynb(1.33MB)
--------Swiss roll.ipynb(97KB)
--------Box-Cox Transform.ipynb(231KB)
--------kmeans_featurizer.py(4KB)
--------Counts.ipynb(886KB)
--------Chunking + POS Tagging.ipynb(10KB)
--------Feature Hashing.ipynb(4KB)
--------K-means.ipynb(2.43MB)
----Feature Engineering for Machine Learning_Principles and Techniques for Data Scientists(2018.03).A4.pdf(7.2MB)