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Machine-Learning-in-Python 《 机器学习及实践:从零开始通往Kaggle竞赛之路》源码,提供了一些流行的 AI-NN-PR 人工智能/神经网络 266万源代码下载- www.pudn.com
 文件名称: Machine-Learning-in-Python下载  收藏√  [投票:非常好  5  4  3  2  1 投票:太差了]
  所属分类: AI-NN-PR
  开发工具: Python
  文件大小: 98890 KB
  上传时间: 2016-10-30
  下载次数: 0
  提 供 者: 启民
 详细说明:《Python机器学习及实践:从零开始通往Kaggle竞赛之路》源码,提供了一些流行的机器学习框架与程序库的应用实例,包括tensorflow框架,注重实战。-Python machine learning and practice: zero to the road leading to the Kaggle contest source code, provides some popular machine learning framework and application examples, including the tensorflow framework, focusing on actual combat.
文件列表(点击判断是否您需要的文件,如果是垃圾请在下面评价投诉):
  Machine Learning in Python (Scikit-learn)-(No.1\Chapter_1\.ipynb_checkpoints\Chapter_1.1-checkpoint.ipynb
  ...............................................\.........\..................\Chapter_1.4-checkpoint.ipynb
  ...............................................\.........\Chapter_1.1.ipynb
  ...............................................\.........\Chapter_1.4.ipynb
  ...............................................\........2\.ipynb_checkpoints\Chapter_2.1.1.1-checkpoint.ipynb
  ...............................................\.........\..................\Chapter_2.1.1.2-checkpoint.ipynb
  ...............................................\.........\..................\Chapter_2.1.1.3-checkpoint.ipynb
  ...............................................\.........\..................\Chapter_2.1.1.4-checkpoint.ipynb
  ...............................................\.........\..................\Chapter_2.1.1.5-checkpoint.ipynb
  ...............................................\.........\..................\Chapter_2.1.1.6-checkpoint.ipynb
  ...............................................\.........\..................\Chapter_2.1.2-checkpoint.ipynb
  ...............................................\.........\..................\Chapter_2.2.1.1-checkpoint.ipynb
  ...............................................\.........\..................\Chapter_2.2.2.1-checkpoint.ipynb
  ...............................................\.........\Chapter_2.1.1.1.ipynb
  ...............................................\.........\Chapter_2.1.1.2.ipynb
  ...............................................\.........\Chapter_2.1.1.3.ipynb
  ...............................................\.........\Chapter_2.1.1.4.ipynb
  ...............................................\.........\Chapter_2.1.1.5.ipynb
  ...............................................\.........\Chapter_2.1.1.6.ipynb
  ...............................................\.........\Chapter_2.1.2.ipynb
  ...............................................\.........\Chapter_2.2.1.1.ipynb
  ...............................................\.........\Chapter_2.2.2.1.ipynb
  ...............................................\........3\.DS_Store
  ...............................................\.........\.ipynb_checkpoints\Chapter_3.1.1.1-checkpoint.ipynb
  ...............................................\.........\..................\Chapter_3.1.1.2-checkpoint.ipynb
  ...............................................\.........\..................\Chapter_3.1.2-checkpoint.ipynb
  ...............................................\.........\..................\Chapter_3.1.4.1-checkpoint.ipynb
  ...............................................\.........\..................\Chapter_3.1.4.2-checkpoint.ipynb
  ...............................................\.........\..................\Chapter_3.2.1-checkpoint.ipynb
  ...............................................\.........\..................\Chapter_3.2.2-checkpoint.ipynb
  ...............................................\.........\..................\Chapter_3.2.3-checkpoint.ipynb
  ...............................................\.........\..................\Chapter_3.2.4-checkpoint.ipynb
  ...............................................\.........\Chapter_3.1.1.1.ipynb
  ...............................................\.........\Chapter_3.1.1.2.ipynb
  ...............................................\.........\Chapter_3.1.2.ipynb
  ...............................................\.........\Chapter_3.1.4.1.ipynb
  ...............................................\.........\Chapter_3.1.4.2.ipynb
  ...............................................\.........\Chapter_3.2.1.ipynb
  ...............................................\.........\Chapter_3.2.2.ipynb
  ...............................................\.........\Chapter_3.2.3.ipynb
  ...............................................\.........\Chapter_3.2.4.ipynb
  ...............................................\.........\MLLab_install.sh
  ...............................................\........4\.ipynb_checkpoints\Chapter_4.2-checkpoint.ipynb
  ...............................................\.........\..................\Chapter_4.3-checkpoint.ipynb
  ...............................................\.........\..................\Chapter_4.4-checkpoint.ipynb
  ...............................................\.........\Chapter_4.2.ipynb
  ...............................................\.........\Chapter_4.3.ipynb
  ...............................................\.........\Chapter_4.4.ipynb
  ...............................................\Datasets\Breast-Cancer\breast-cancer-test.csv
  ...............................................\........\.............\breast-cancer-train.csv
  ...............................................\........\IMDB\300features_20minwords_10context
  ...............................................\........\....\labeledTrainData.tsv
  ...............................................\........\....\submission_count.csv
  ...............................................\........\....\submission_tfidf.csv
  ...............................................\........\....\submission_w2v.csv
  ...............................................\........\....\testData.tsv
  ...............................................\........\....\unlabeledTrainData.tsv
  ...............................................\........\MNIST\conv_submission.csv
  ...............................................\........\.....\dnn_submission.csv
  ...............................................\........\.....\linear_submission.csv
  ...............................................\........\.....\test.csv
  ...............................................\........\.....\train.csv
  ...............................................\........\Titanic\rfc_submission.csv
  ...............................................\........\.......\test.csv
  ...............................................\........\.......\train.csv
  ...............................................\........\.......\xgbc_best_submission.csv
  ...............................................\........\.......\xgbc_submission.csv
  ...............................................\Chapter_1\.ipynb_checkpoints
  ...............................................\........2\.ipynb_checkpoints
  ...............................................\........3\.ipynb_checkpoints
  ...............................................\........4\.ipynb_checkpoints
  ...............................................\Datasets\Breast-Cancer
  ...............................................\........\IMDB
  ...............................................\........\MNIST
  ...............................................\........\Titanic
  ...............................................\Chapter_1
  ...............................................\Chapter_2
  ...............................................\Chapter_3
  ...............................................\Chapter_4
  ...............................................\Datasets
  Machine Learning in Python (Scikit-learn)-(No.1
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