【文件属性】：
文件名称：Machine_Learning-Tutorial：머신러닝공부자료
文件大小：151KB
文件格式：ZIP
更新时间：2021-02-14 07:16:54
JupyterNotebook
机器学习教程
机器学习공부
자료
“파이썬가가이드”，inflearn，最后修改为2020年9月11日，访问了2020年9月12日，
【文件预览】：
Machine_Learning-Tutorial-master
----s01n10_Numpy_Sort_N_Liner_Algebra.ipynb(7KB)
----.ipynb_checkpoints()
--------s01n13_Pandas_DataFrame_Index-checkpoint.ipynb(50KB)
--------s01n16_Pandas_Missing_Data-checkpoint.ipynb(7KB)
--------s01n11-12_Pandas_API-checkpoint.ipynb(40KB)
--------s02n04_K-Fold_N_Stratified_K-Fold-checkpoint.ipynb(12KB)
--------s01n10_Numpy_Sort_N_Liner_Algebra-checkpoint.ipynb(6KB)
--------s02n06-07_Data_Processing-Encoding_and_Scaling-checkpoint.ipynb(15KB)
--------s02n02_Sikit-Learn_example_data-checkpoint.ipynb(8KB)
--------s01n07_Numpy_Reshape-checkpoint.ipynb(4KB)
--------s02n03_Fit_N_Separating_dataset-checkpoint.ipynb(7KB)
--------s01n16_Pandas_Aggregation_N_Group_by-checkpoint.ipynb(17KB)
--------s02n05_cross_val_score_N_GridSearchCV-checkpoint.ipynb(12KB)
--------s01n15_Pandas_DataFrame_Selection_Filtering-checkpoint.ipynb(59KB)
--------s01n06_Numpy-checkpoint.ipynb(5KB)
--------s01n09_Numpy_Indexing-checkpoint.ipynb(7KB)
--------s02n01_Sikit-learn_Introduction_N_Iris-checkpoint.ipynb(8KB)
----s01n16_Pandas_Missing_Data.ipynb(7KB)
----s01n13_Pandas_DataFrame_Index.ipynb(50KB)
----s02n06-07_Data_Processing-Encoding_and_Scaling.ipynb(15KB)
----s01n11-12_Pandas_API.ipynb(46KB)
----titanic()
--------test.csv(28KB)
--------train.csv(59KB)
--------gender_submission.csv(3KB)
----s01n16_Pandas_Aggregation_N_Group_by.ipynb(17KB)
----s01n07_Numpy_Reshape.ipynb(4KB)
----titanic_train.csv(59KB)
----s02n05_cross_val_score_N_GridSearchCV.ipynb(12KB)
----README.md(349B)
----s02n03_Fit_N_Separating_dataset.ipynb(7KB)
----s02n02_Sikit-Learn_example_data.ipynb(8KB)
----s01n06_Numpy.ipynb(5KB)
----s01n15_Pandas_DataFrame_Selection_Filtering.ipynb(59KB)
----s02n04_K-Fold_N_Stratified_K-Fold.ipynb(12KB)
----s01n09_Numpy_Indexing.ipynb(7KB)
----s02n01_Sikit-learn_Introduction_N_Iris.ipynb(8KB)
----.gitattributes(66B)