【文件属性】：
文件名称：IMP-ALG：我的Office文件
文件大小：4.69MB
文件格式：ZIP
更新时间：2021-02-13 20:22:26
JupyterNotebook
IMP-ALG
我的办公室文件
【文件预览】：
IMP-ALG-main
----Real estate.csv(21KB)
----.ipynb_checkpoints()
--------KNN-ALG-checkpoint.ipynb(585B)
--------Untitled-checkpoint.ipynb(72B)
--------NetFlix_Data-checkpoint.ipynb(504KB)
--------Untitled3-checkpoint.ipynb(72B)
--------Decission Tree-checkpoint.ipynb(31KB)
--------Untitled2-checkpoint.ipynb(72B)
--------Support Vector Machine-PlayBall-checkpoint.ipynb(10KB)
--------Random Forest-Label Binarizer-checkpoint.ipynb(29KB)
--------Logistic_Regression_Kaggle_HR_Analysis-checkpoint.ipynb(44KB)
--------XGBoost-Alg-checkpoint.ipynb(31KB)
--------d tree-checkpoint.ipynb(40KB)
--------linear Regression-checkpoint.ipynb(51KB)
--------Untitled5-checkpoint.ipynb(72B)
--------Linear_Regression_Kaggle_Insurence-checkpoint.ipynb(28KB)
--------Untitled1-checkpoint.ipynb(4KB)
--------Untitled4-checkpoint.ipynb(72B)
--------KNN-1-checkpoint.ipynb(14KB)
--------Random Forest-Label Encoder-checkpoint.ipynb(39KB)
----Random Forest-Label Binarizer.ipynb(29KB)
----.gitattributes(66B)
----Untitled4.ipynb(555B)
----Untitled5.ipynb(555B)
----Untitled1.ipynb(4KB)
----logreg.csv(70B)
----Untitled3.ipynb(17KB)
----Data Exploration and EDA Process.ipynb(74KB)
----Linear_Regression_Kaggle_Insurence.ipynb(28KB)
----XGBoost-Alg.ipynb(31KB)
----Data Preprocessing-First-PGM-Titanica.ipynb(9KB)
----Pics()
--------02.jpg(203KB)
--------03.jpg(894KB)
--------01.jpg(382KB)
----NetFlix_Data.ipynb(551KB)
----Logistic_Regression_Kaggle_HR_Analysis.ipynb(44KB)
----Random Forest-Label Encoder.ipynb(39KB)
----Support Vector Machine-PlayBall.ipynb(10KB)
----Untitled.ipynb(555B)
----playball.csv(213B)
----KNN-1.ipynb(14KB)
----Untitled2.ipynb(2KB)
----HAM_SPAM.ipynb(21KB)
----dd.csv(127B)
----README.md(27B)
----KNN1.csv(100B)
----insurance.csv(53KB)
----playdata.csv(453B)
----HR_comma_sep.csv(539KB)
----titanica.csv(60KB)
----netflix_titles.csv(2.85MB)
----bedroom.csv(112B)
----dataset.csv(154KB)
----Decission Tree.ipynb(31KB)
----TREE.csv(558B)
----linear Regression.ipynb(51KB)
----MYSelf()
--------Details.txt(71B)
--------Bitdroplet_PrivateKey.png(116KB)
--------Save.txt(197B)
--------Private Key.txt(48B)
--------Form16()
--------UTIITSL_ePAN_G032930917_10062020_224457.pdf(651KB)
----scrapq.csv(1.6MB)
----income.csv(73B)