文件名称：Google-Colab:Google Colab
文件大小：14.85MB
文件格式：ZIP
更新时间：2024-04-19 16:09:14
JupyterNotebook
Google-Colab Google Colab
【文件预览】：
Google-Colab-master
----2_For_Loop.ipynb(48KB)
----Bike_Sharing.ipynb(229KB)
----Naive_Bayes.ipynb(3KB)
----For_Loop.ipynb(58KB)
----2_Def_Function_Charts.ipynb(21KB)
----if_else_elif_Statement.ipynb(16KB)
----1_Interview_Questions.ipynb(418KB)
----10_Imbalance_Data.ipynb(15KB)
----stock_market_trial.ipynb(1.31MB)
----Efficient_Frontier.ipynb(1.42MB)
----10_rdkit.ipynb(3KB)
----Data_Science_Use_Cases.ipynb(8KB)
----Customer_Lifetime_Value_(CLV).ipynb(177KB)
----8_ML_LifeCycle.ipynb(6KB)
----Document_Scanner.ipynb(3.2MB)
----AirBnB_Sydney.ipynb(626KB)
----21_Sigmoid_Function.ipynb(78KB)
----AutoViz_01.ipynb(2KB)
----5_EDA.ipynb(10KB)
----Customer_Segmentation.ipynb(2.86MB)
----Venture_Capital.ipynb(380KB)
----11_Learnings_Cheet_Sheet.ipynb(20KB)
----Yahoo_Finance_Medium_SMA_LMA.ipynb(202KB)
----3_Def_Function.ipynb(42KB)
----30_value_counts(normalize=True).ipynb(7KB)
----31_reset_index.ipynb(81KB)
----Demand_Forecasting.ipynb(238KB)
----Cumulative_Sum.ipynb(7KB)
----10_Ensemble_Learning_and_Ensemble_Learning_Techniques.ipynb(2KB)
----7_Outliers.ipynb(10KB)
----CutShort_DataAnalytics.ipynb(34KB)
----Bankruptcy_Prediction.ipynb(226KB)
----PCA.ipynb(2KB)
----LinkedIn_Questions_Python_01.ipynb(11KB)
----Analyzing_IPL_Data.ipynb(236KB)
----README.md(28B)
----Money_Flow_Index_(MFI).ipynb(77KB)
----def_Interview.ipynb(2KB)
----Def.ipynb(30KB)
----PANDAS_time_series.ipynb(108KB)
----4_How_to_Access_Columns_by_Name_in_Pandas_(Python).ipynb(27KB)
----PROJECTS_DOMAIN_WISE.ipynb(3KB)
----suresh_notebook.ipynb(3.74MB)
----Stock Market()
--------julian_ver_2.ipynb(481KB)
--------core_1_Exploratory_Data_Analysis.ipynb(1.32MB)
--------suresh_notebook.ipynb(3.74MB)
--------scrip_names_till_2020_09_03.csv(2KB)
----Stock_Producer.ipynb(56KB)
----Bias_&_Variance.ipynb(3KB)
----Copy_of_HR_Analytics_Report.ipynb(294KB)
----AROMA.ipynb(9KB)
----Reuters_Authorship.ipynb(123KB)
----6_Confusion_Matrix.ipynb(264KB)
----Loan_Classification.ipynb(511KB)
----LSTM.ipynb(1KB)
----LinkedIn_Questions.ipynb(9KB)
----Economic_Analysis.ipynb(299KB)
----Time_Series.ipynb(297KB)
----20_XGBoost.ipynb(2KB)
----Document_Scanner_ref.ipynb(3.2MB)