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Название [ FreeCourseWeb.com ] Udemy - The Complete Exploratory Analysis Course With Pandas [2021]
Тип Порно
Размер 2.33Гб
Файлы в торренте
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001 Controlling plot aesthetics.en.srt 15.84Кб
001 Controlling plot aesthetics.mp4 146.40Мб
001 Course structure.en.srt 1.74Кб
001 Course structure.mp4 9.46Мб
001 Introduction to datasets.en.srt 5.66Кб
001 Introduction to datasets.mp4 57.07Мб
001 Modifying a pandas DataFrame using the inplace parameter.en.srt 9.29Кб
001 Modifying a pandas DataFrame using the inplace parameter.mp4 105.40Мб
001 Thank you.en.srt 1.69Кб
001 Thank you.mp4 23.30Мб
001 Using advanced options while reading data from CSV files.en.srt 14.71Кб
001 Using advanced options while reading data from CSV files.mp4 158.12Мб
002 Choosing the colors for plots.en.srt 9.09Кб
002 Choosing the colors for plots.mp4 82.91Мб
002 Reading data from Excel files.en.srt 17.25Кб
002 Reading data from Excel files.mp4 196.13Мб
002 Sorting a pandas DataFrame.en.srt 9.53Кб
002 Sorting a pandas DataFrame.mp4 104.41Мб
002 Using the groupby method.en.srt 11.50Кб
002 Using the groupby method.mp4 127.52Мб
002 What is the prerequisite of this course.en.srt 1.32Кб
002 What is the prerequisite of this course.mp4 6.41Мб
003 Filtering rows of a pandas DataFrame.en.srt 7.89Кб
003 Filtering rows of a pandas DataFrame.mp4 81.56Мб
003 Handling missing values in pandas.en.srt 11.55Кб
003 Handling missing values in pandas.mp4 105.53Мб
003 How To Make The Most Out Of This Course.en.srt 2.54Кб
003 How To Make The Most Out Of This Course.mp4 8.20Мб
003 Plotting categorical data.en.srt 6.73Кб
003 Plotting categorical data.mp4 57.04Мб
003 Reading data from other popular formats.en.srt 2.88Кб
003 Reading data from other popular formats.mp4 140.72Мб
004 Applying multiple filter criteria to a pandas DataFrame.en.srt 11.46Кб
004 Applying multiple filter criteria to a pandas DataFrame.mp4 138.49Мб
004 Important note about tools in this course.en.srt 1.72Кб
004 Important note about tools in this course.mp4 5.09Мб
004 Indexing in pandas DataFrames.en.srt 6.14Кб
004 Indexing in pandas DataFrames.mp4 70.15Мб
004 Plotting with Data-Aware Grids.en.srt 10.24Кб
004 Plotting with Data-Aware Grids.mp4 99.98Мб
005 IMDB.csv 39.05Кб
005 Renaming columns in a pandas DataFrame.en.srt 8.56Кб
005 Renaming columns in a pandas DataFrame.mp4 82.75Мб
005 Summary.en.srt 1.51Кб
005 Summary.mp4 6.62Мб
005 Using_advanced_options_while_reading_data_from_CSV_file.ipynb 102.35Кб
005 Using the axis parameter in pandas.en.srt 8.24Кб
005 Using the axis parameter in pandas.mp4 95.16Мб
006 Basic_Excel_read.ipynb 156.57Кб
006 IMDB.xlsx 81.18Кб
006 Removing columns from a pandas DataFrame.en.srt 5.31Кб
006 Removing columns from a pandas DataFrame.mp4 71.12Мб
006 Using string methods in pandas.en.srt 5.81Кб
006 Using string methods in pandas.mp4 61.49Мб
007 Changing the datatype of a pandas series.en.srt 6.90Кб
007 Changing the datatype of a pandas series.mp4 74.60Мб
007 IMDB.html 378.53Кб
007 IMDB.json 156.47Кб
007 IMDB.p 58.70Кб
007 IMDB.sqlite 52.00Кб
007 Reading_data_from_other_formats.ipynb 53.85Кб
007 Working with date and time series data.en.srt 10.39Кб
007 Working with date and time series data.mp4 97.36Мб
008 Applying a function to a pandas series or DataFrame.en.srt 5.99Кб
008 Applying a function to a pandas series or DataFrame.mp4 57.09Мб
008 data-zillow.csv 661.53Кб
008 Selecting_data_from_the_dataset.ipynb 7.95Кб
008 Summary.en.srt 3.25Кб
008 Summary.mp4 18.79Мб
009 Merging and concatenating multiple DataFrames into one.en.srt 9.25Кб
009 Merging and concatenating multiple DataFrames into one.mp4 84.40Мб
009 Selecting_data_from_the_dataset (1).ipynb 29.88Кб
010 Selecting_data_from_the_dataset (2).ipynb 47.91Кб
010 Summary.en.srt 1.74Кб
010 Summary.mp4 8.77Мб
011 Selecting_data_from_the_dataset (3).ipynb 74.31Кб
012 Selecting_data_from_the_dataset (4).ipynb 96.66Кб
013 Selecting_data_from_the_dataset (5).ipynb 107.71Кб
014 Selecting_data_from_the_dataset (6).ipynb 118.24Кб
016 data-movies-top-grossing.csv 2.46Кб
016 Modifying_a_pandas_DataFrame_using_the_inplace_parameter.ipynb 38.76Кб
017 data-zillow1.csv 661.53Кб
017 Using_the_groupby_method.ipynb 92.52Кб
018 data-titanic.csv 59.76Кб
018 Handling_missing_values_in_pandas.ipynb 15.87Кб
019 Handling_missing_values_in_pandas (1).ipynb 45.47Кб
020 Renaming_columns_in_a_pandas_DataFrame.ipynb 11.39Кб
021 Removing_columns_from_a_pandas_DataFrame.ipynb 19.55Кб
022 Working_with_date_and_time_series_data.ipynb 19.10Кб
023 Applying_a_function_to_a_pandas_series_or_DataFrame.ipynb 18.57Кб
024 Merging_and_concatenating_multiple_DataFrames_into_one.ipynb 38.94Кб
026 Controlling_plot_aesthetics.ipynb 257.46Кб
026 data-alcohol.csv 4.47Кб
027 Choosing_the_colors_for_plots.ipynb 75.75Кб
028 data_simpsons_episodes.csv 116.92Кб
028 Plotting_categorical_data.ipynb 186.40Кб
029 data-mlb-players.csv 28.06Кб
029 Plotting_with_Data_Aware_Grids.ipynb 283.80Кб
Bonus Resources.txt 357б
Get Bonus Downloads Here.url 183б
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