文件名称：数据科学笔记本：用于学习Python和数据科学的Jupyter笔记本，是《数据科学解决方案》书的配套书
文件大小：2.71MB
文件格式：ZIP
更新时间：2024-02-25 01:12:17
data-science learning-python jupyter-notebook data-science-notebooks JupyterNotebookJupyterNotebook
数据科学笔记本：用于学习Python和数据科学的Jupyter笔记本，是《数据科学解决方案》书的配套书
【文件预览】：
data-science-notebooks-master
----python-data-structures-sets.ipynb(6KB)
----.gitignore(10B)
----README.md(459B)
----python-data-structures-list.ipynb(25KB)
----titanic-data-science-solutions-refactor.ipynb(312KB)
----python-data-files.ipynb(12KB)
----neo4j-rest-api-from-python.ipynb(3KB)
----titanic-data-science-solutions.ipynb(256KB)
----LICENSE(1KB)
----aws-dynamodb-delete-table.ipynb(1KB)
----iris-classifiers-compare.ipynb(14KB)
----.ipynb_checkpoints()
--------firebase-import-census-checkpoint.ipynb(8KB)
--------python-data-structures-tuples-checkpoint.ipynb(5KB)
--------titanic-data-science-solutions-refactor-checkpoint.ipynb(312KB)
--------aws-dynamodb-delete-table-checkpoint.ipynb(1KB)
--------iris-classifiers-compare-checkpoint.ipynb(14KB)
--------python-data-structures-sets-checkpoint.ipynb(6KB)
--------aws-dynamodb-create-describe-table-checkpoint.ipynb(3KB)
--------titanic-kaggle-old-checkpoint.ipynb(97KB)
--------python-classes-checkpoint.ipynb(6KB)
--------iris-decision-tree-checkpoint.ipynb(242KB)
--------aws-dynamodb-import-census-checkpoint.ipynb(19KB)
--------python-data-structures-list-checkpoint.ipynb(25KB)
--------scrape-awesome-public-datasets-checkpoint.ipynb(88KB)
--------.DS_Store(6KB)
--------python-data-files-checkpoint.ipynb(12KB)
--------titanic-data-science-solutions-checkpoint.ipynb(256KB)
--------neo4j-rest-api-from-python-checkpoint.ipynb(3KB)
--------neo4j-python-integration-checkpoint.ipynb(13KB)
----python-data-structures-tuples.ipynb(5KB)
----firebase-import-census.ipynb(8KB)
----python-classes.ipynb(6KB)
----dss-cover-300.jpg(37KB)
----neo4j-python-integration.ipynb(13KB)
----aws-dynamodb-import-census.ipynb(19KB)
----scrape-awesome-public-datasets.ipynb(88KB)
----.DS_Store(6KB)
----data()
--------fileops()
--------titanic-kaggle()
--------firebase()
--------aws()
--------scraping()
----aws-dynamodb-create-describe-table.ipynb(3KB)
----iris-decision-tree.ipynb(242KB)