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【影视】 [ DevCourseWeb.com ] Udemy - Python Pandas - Python Library For Data Analysis

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~Get Your Files Here !/9. DataFrame Filtering Data Based On Conditions.mp4 40.9 MB
~Get Your Files Here !/12. Data Cleaning.mp4 39.0 MB
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~Get Your Files Here !/6. DataFrame Functions.mp4 34.6 MB
~Get Your Files Here !/5. DataFrame Attributes.mp4 33.4 MB
~Get Your Files Here !/8. DataFrame loc and iloc methods.mp4 31.3 MB
~Get Your Files Here !/3. Add Columns And Rows To DataFrame.mp4 29.7 MB
~Get Your Files Here !/11. DataFrame To CSV ,CSV To DataFrame.mp4 28.6 MB
~Get Your Files Here !/1. Creating DataFrame.mp4 24.9 MB
~Get Your Files Here !/4. Deleting Rows And Columns From The DataFrame.mp4 21.6 MB
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~Get Your Files Here !/2022 SOFTWARE LIST.pdf 237.9 kB
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【影视】 Udemy - Data Analysis with Python and Pandas (2015)

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08 Working with Databases/051 Section and course outro.mp4 137.6 MB
05 Handling for Missing Data Outliers/028 Section Outro.mp4 112.5 MB
06 Combining Dataframes/034 Section Outro.mp4 100.3 MB
01 Introduction to the Course/001 Course Introduction.mp4 84.3 MB
03 IO Tools/016 Section Outro.mp4 83.3 MB
06 Combining Dataframes/029 Section Intro.mp4 82.9 MB
04 Pandas Operations/023 Section Outro.mp4 68.3 MB
07 Advanced Operations/046 Section Outro.mp4 66.9 MB
05 Handling for Missing Data Outliers/024 Section Intro.mp4 66.4 MB
07 Advanced Operations/040 Correlation and Covariance Part 1.mp4 60.7 MB
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05 Handling for Missing Data Outliers/026 Filling Forward And Backward Na.mp4 58.9 MB
08 Working with Databases/050 Finishing Manipulation And Graph.mp4 57.2 MB
07 Advanced Operations/044 Buffering basics.mp4 56.3 MB
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Airodump-NG Scan Analysis Part 5.mp4 189.1 MB
Airodump-NG Scan Analysis Part 1.mp4 141.1 MB
Course Introduction.mp4 115.0 MB
Airodump-NG Scan Analysis Part 4.mp4 110.0 MB
Airodump-NG Scan Analysis Part 3.mp4 109.9 MB
Airodump-NG Scan Analysis Part 2.mp4 90.6 MB
Conclusion.mp4 48.7 MB
Pandas Dataframe - Basics.mp4 48.6 MB
Lab Setup.mp4 45.5 MB
Pandas - Series Basics.mp4 42.5 MB
Pandas Series - Vector Operations.mp4 37.3 MB
Pandas Dataframe - Split, Apply, Combine, GroupBy.mp4 32.6 MB
Numpy.mp4 30.0 MB
Pandas Series - Miscellaneous Operations.mp4 27.6 MB
Pandas Series - Logical String Operations.mp4 27.5 MB
Pandas Dataframe - Apply Function.mp4 26.8 MB
Pandas Dataframe - Split, Apply, Combine, Filter.mp4 25.6 MB
Numpy Basics.mp4 25.2 MB
Pandas Dataframe - Split, Apply, Combine, Aggregate.mp4 22.1 MB
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[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/7. Merging Dataframes in Pandas/5. Joins using Pandas.mp4 167.2 MB
[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/5. Creating Dataframes using Pandas/1. Introduction to Pandas Creating the first Dataframe.mp4 163.5 MB
[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/12. User defined functions/1. Using def.mp4 153.8 MB
[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/9. Working with Datetime in pandas/2. Weight loss per day.mp4 150.2 MB
[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/13. Working with String Columns/4. Replace and split a string.mp4 149.7 MB
[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/12. User defined functions/2. Lambda and Apply.mp4 146.7 MB
[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/11. Iterating over Pandas Dataframe/1. Loops in Python.mp4 142.9 MB
[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/8. Aggregations/2. Aggregation Part 2.mp4 120.2 MB
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[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/3. Numpy/1. Create numpy array.mp4 113.3 MB
[TutsNode.com] - Python Course for Data Analysis Numpy + Pandas + Matplotlib/10. Advance Data Manipulation/1. Pivot Table Part 1.mp4 107.9 MB
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~Get Your Files Here !/3 - Learning Pandas Dataframe/23 - Understanding Product Union & Difference.mp4 87.9 MB
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~Get Your Files Here !/3 - Learning Pandas Dataframe/26 - Creating Histograms & Transposing Data.mp4 44.1 MB
~Get Your Files Here !/3 - Learning Pandas Dataframe/31 - Learn How to Set Data.mp4 42.2 MB
~Get Your Files Here !/3 - Learning Pandas Dataframe/25 - Dataframes Learn About Statistics.mp4 40.0 MB
~Get Your Files Here !/3 - Learning Pandas Dataframe/27 - Learn How to Tweak Dataframes 1.mp4 39.5 MB
~Get Your Files Here !/2 - Getting Started/13 - Duplicates in Pandas Series.mp4 37.0 MB
~Get Your Files Here !/3 - Learning Pandas Dataframe/24 - Dataframes in Depth.mp4 36.3 MB
~Get Your Files Here !/2 - Getting Started/14 - A Brief Intro to NaN.mp4 35.7 MB
~Get Your Files Here !/3 - Learning Pandas Dataframe/30 - Learn About Iteration of Dataframes.mp4 34.2 MB
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【影视】 [ DevCourseWeb.com ] Data Manipulation In Python - A Pandas Crash Course by Asim Noaman

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~Get Your Files Here !/4 - Data Analysis with Power Query/22 - Live Data Analysis with Power Query Ms Excel.mp4 1.9 GB
~Get Your Files Here !/3 - Data Visualization with Pandas/20 - Pandas Library chearsheet.mp4 112.6 MB
~Get Your Files Here !/4 - Data Analysis with Power Query/23 - How to Append Multiple Excel Sheets.mp4 104.7 MB
~Get Your Files Here !/1 - Introduction/2 - Python Jupyter NoteBook Installation.mp4 54.4 MB
~Get Your Files Here !/3 - Data Visualization with Pandas/21 - What is Data Cleaning.mp4 44.7 MB
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~Get Your Files Here !/3 - Data Visualization with Pandas/15 - How to Create Count plot.mp4 13.1 MB
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~Get Your Files Here !/1 - Introduction/3 - Introduction to Data Analysis.mp4 8.1 MB
~Get Your Files Here !/2 - Data Manipulation with Pandas/11 - How to Filter the dataset.mp4 7.1 MB
~Get Your Files Here !/3 - Data Visualization with Pandas/17 - How to Create Bar Plot.mp4 7.0 MB
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~Get Your Files Here !/7. Data Visualization Using Matplotlib Library/6. Bar Plotting.mp4 150.2 MB
~Get Your Files Here !/6. Data Manipulation using Pandas Part II/1. Merging , Joining and Concatenating.mp4 131.2 MB
~Get Your Files Here !/5. Data Manipulation using Pandas Part I/4. Pandas Data Structure DataFrame.mp4 112.2 MB
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~Get Your Files Here !/6. Data Manipulation using Pandas Part II/3. Cleaning Data.mp4 65.8 MB
~Get Your Files Here !/7. Data Visualization Using Matplotlib Library/5. Histogram Plotting.mp4 60.1 MB
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~Get Your Files Here !/5. Data Manipulation using Pandas Part I/3. Pandas Data Structure Series.mp4 58.8 MB
~Get Your Files Here !/3. Numpy Part I - Basics/1. Creation and Initialization of Numpy Array.mp4 57.0 MB
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~Get Your Files Here !/4. Numpy Part 2-Advanced/3. Searching.mp4 51.0 MB
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01 - Installation and Setup/001 Introduction to Data Analysis with Pandas and Python.mp4 131.4 MB
05 - DataFrames II_ Filtering Data/002 Filter a DataFrame Based on A Condition.mp4 86.3 MB
05 - DataFrames II_ Filtering Data/001 This Module's Dataset + Memory Optimization.mp4 78.9 MB
10 - Merging, Joining, and Concatenating DataFrames/007 Left Joins.mp4 66.2 MB
11 - Working with Dates and Times in Datasets/006 Create Range of Dates with the pd.date_range() Method, Part 1.mp4 65.3 MB
09 - The GroupBy Object/002 First Operations with groupby Object.mp4 64.6 MB
04 - DataFrames I_ Introduction/014 Convert DataFrame Column Types with the astype Method.mp4 63.7 MB
10 - Merging, Joining, and Concatenating DataFrames/006 Outer Joins.mp4 62.5 MB
01 - Installation and Setup/007 macOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4 62.1 MB
06 - DataFrames III_ Data Extraction/008 Rename Index Labels or Columns in a DataFrame.mp4 60.9 MB
11 - Working with Dates and Times in Datasets/007 Create Range of Dates with the pd.date_range() Method, Part 2.mp4 59.0 MB
10 - Merging, Joining, and Concatenating DataFrames/009 Merging by Indexes with the left_index and right_index Parameters.mp4 56.6 MB
05 - DataFrames II_ Filtering Data/008 Check for Duplicate DataFrame Rows with the duplicated Method.mp4 56.3 MB
01 - Installation and Setup/008 macOS - Unpack Course Materials + The Start and Shutdown Process.mp4 54.5 MB
01 - Installation and Setup/006 macOS - Access the Terminal Application.mp4 54.3 MB
11 - Working with Dates and Times in Datasets/005 The pd.to_datetime() Method.mp4 52.4 MB
04 - DataFrames I_ Introduction/001 Intro to DataFrames I Module.mp4 52.2 MB
10 - Merging, Joining, and Concatenating DataFrames/008 The left_on and right_on Parameters.mp4 50.9 MB
07 - Working with Text Data/002 Common String Methods - lower, upper, title, and len.mp4 50.2 MB
08 - MultiIndex/015 Use the pd.melt method to create a narrow dataset from a wide one.mp4 50.1 MB

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16 Projects/002 Project - 2.mp4 177.5 MB
11 Machine Learning/015 Choosing the right algorithm and model.mp4 156.2 MB
05 Numpy Library/008 Using Numpy in Linear Algebra.mp4 117.6 MB
08 Matplotlib/008 Basic Plots in Matplotlib I.mp4 109.5 MB
07 Data Frame with Pandas/009 Combining Data Frames Part – I.mp4 108.6 MB
16 Projects/001 Project - 1.mp4 106.5 MB
09 Seaborn/005 Basic Plots in Seaborn.mp4 97.3 MB
11 Machine Learning/012 Unsupervised Machine Learning Methods.mp4 92.2 MB
15 Transfer Learning/001 What is Transfer Learning.mp4 89.5 MB
07 Data Frame with Pandas/010 Combining Data Frames Part – II.mp4 88.3 MB
11 Machine Learning/016 Training and testing the model.mp4 88.0 MB
06 Using Pandas for Data Manipulation/002 Series and Features.mp4 87.6 MB
16 Projects/003 Project - 3.mp4 86.3 MB
07 Data Frame with Pandas/001 Data Frame Attributes and Methods Part – I.mp4 83.6 MB
12 Artificial Neural Network/003 Creating a Simple ANN.mp4 83.3 MB
07 Data Frame with Pandas/006 Missing Data and Data Munging Part I.mp4 83.2 MB
05 Numpy Library/005 Numpy Functions.mp4 82.3 MB
10 Geoplotlib/003 Example - 2.mp4 80.0 MB
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