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| [CourseClub.Me].url |
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| [CourseClub.Me].url |
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| [CourseClub.Me].url |
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| [CourseClub.Me].url |
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| [CourseClub.Me].url |
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| [CourseClub.Me].url |
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| [CourseClub.Me].url |
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| [CourseClub.Me].url |
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| [GigaCourse.Com].url |
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| [GigaCourse.Com].url |
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| [GigaCourse.Com].url |
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| [GigaCourse.Com].url |
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| [GigaCourse.Com].url |
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| 001 .unique(), .nunique()_en.vtt |
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| 001 .unique(), .nunique().mp4 |
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| 001 An Introduction to the Absenteeism Exercise_en.vtt |
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| 001 An Introduction to the Absenteeism Exercise.mp4 |
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| 001 A Practical Example - What Will You Learn in This Course_en.vtt |
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| 001 A Practical Example - What Will You Learn in This Course.mp4 |
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| 001 A Revision to pandas DataFrames_en.vtt |
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| 001 A Revision to pandas DataFrames.mp4 |
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| 001 Arrays of 0s and 1s_en.vtt |
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| 001 Arrays of 0s and 1s.mp4 |
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| 001 Basic Slicing in NumPy_en.vtt |
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| 001 Checking for Missing Values in Ndarrays_en.vtt |
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| 001 Checking for Missing Values in Ndarrays.mp4 |
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| 001 Conclusion_en.vtt |
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| 001 Conclusion.mp4 |
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| 001 How to Complete the Absenteeism Exercise_en.vtt |
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| 001 How to Complete the Absenteeism Exercise.mp4 |
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| 001 Indexing in NumPy_en.vtt |
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| 001 Indexing in NumPy.mp4 |
14.87Мб |
| 001 Introduction_en.vtt |
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| 001 Introduction.mp4 |
13.81Мб |
| 001 Introduction to the pandas Library_en.vtt |
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| 001 Introduction to the pandas Library.mp4 |
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| 001 Introduction to the World of Business and Data_en.vtt |
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| 001 Introduction to the World of Business and Data.mp4 |
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| 001 Iterating Over Range Objects_en.vtt |
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| 001 What Is а Matrix_en.vtt |
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| 002 What Does the Course Cover_en.vtt |
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| 003 Data Exchange Format for APIs JSON_en.vtt |
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| 003 Data Selection in pandas DataFrames_en.vtt |
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| 003 Download All Resources.html |
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| 003 Elementwise Properties of Arrays_en.vtt |
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| 003 Importing Modules_en.vtt |
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| 003 Introduction to pandas Series_en.vtt |
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| 003 Jupyter - Introduction_en.vtt |
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| 003 Linear Algebra and Geometry_en.vtt |
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| 003 Ndarray_en.vtt |
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| 003 Note Programming vs the Rest of the World_en.vtt |
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| 003 Setting Up Checking for Incomplete Data_en.vtt |
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| 003 Statistical Order Functions in NumPy_en.vtt |
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| 003 Strings vs Object vs Number_en.vtt |
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| 003 Structured vs Semi-Structured and Unstructured Data_en.vtt |
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| 003 Structured vs Semi-Structured and Unstructured Data.mp4 |
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| 003 The Dataset_en.vtt |
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| 003 The Dataset.mp4 |
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| 003 Triple Nested For Loops_en.vtt |
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| 003 Types of Data - Strings_en.vtt |
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| 003 Using Various Python String Methods - Part I.mp4 |
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| 004 Arrays in Python_en.vtt |
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| 004 Attribute and Method Chaining_en.vtt |
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| 004 Averages and Variance in NumPy_en.vtt |
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| 004 Averages and Variance in NumPy.mp4 |
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| 004 Basic Python Syntax - Arithmetic Operators_en.vtt |
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| 004 Basic Python Syntax - Arithmetic Operators.mp4 |
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| 004 Data Analyst Job Description_en.vtt |
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| 004 Data Connectivity through Text Files_en.vtt |
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| 004 Dimensions and the Squeeze Function_en.vtt |
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| 004 Dimensions and the Squeeze Function.mp4 |
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| 004 FAQ.html |
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| 004 Introducing the Exchange Rates API_en.vtt |
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| 004 Introducing the Exchange Rates API.mp4 |
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| 004 Introduction into Colors and Color Theory_en.vtt |
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| 004 Introduction into Colors and Color Theory.mp4 |
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| 004 Introduction to Using NumPy and pandas_en.vtt |
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| 004 The NumPy Documentation_en.vtt |
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| 004 Types of Data Supported by NumPy_en.vtt |
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| 004 Using a Statistical Approach to Solve Our Exercise_en.vtt |
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| 005 Anonymous (Lambda) Functions_en.vtt |
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| 005 Basic Python Syntax - The Double Equality Sign_en.vtt |
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| 005 Basic Python Syntax - The Double Equality Sign.mp4 |
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| 005 Basic Random Functions in NumPy_en.vtt |
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| 005 Covariance and Correlation in NumPy_en.vtt |
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| 005 Dropping the 'ID' Column_en.vtt |
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| 005 NumPy Basics - Exercise.html |
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| 005 Principles of Importing Data in Python_en.vtt |
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| 005 Principles of Importing Data in Python.mp4 |
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| 005 Setting Up Creating Checkpoints_en.vtt |
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| 005 Setting Up Creating Checkpoints.mp4 |
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| 005 What Is a Tensor_en.vtt |
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| 005 What Is a Tensor.mp4 |
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| 005 What is Software Documentation_en.vtt |
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| 005 Why Python_en.vtt |
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| 006 A Few Comments on Using .loc[] and .iloc[]_en.vtt |
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| 006 A Few Comments on Using .loc[] and .iloc[].mp4 |
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| 006 Analysis of the 'Reason for Absence' Column_en.vtt |
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| 006 Analysis of the 'Reason for Absence' Column.mp4 |
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| 006 Argument Sort in NumPy_en.vtt |
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| 006 Bar Chart - How to Create a Bar Chart Using Python_en.vtt |
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| 006 Bar Chart - How to Create a Bar Chart Using Python.mp4 |
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| 006 Basic Python Syntax - Reassign Values_en.vtt |
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| 006 Characteristics of NumPy Functions Part 2_en.vtt |
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| 006 Histograms in NumPy (Part 1)_en.vtt |
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| 006 Histograms in NumPy (Part 1).mp4 |
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| 006 Jupyter - Working with Notebook Files_en.vtt |
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| 006 Jupyter - Working with Notebook Files.mp4 |
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| 006 Label-based vs Position-based Indexing_en.vtt |
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| 006 Label-based vs Position-based Indexing.mp4 |
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| 006 Manipulating Text Data Issue Date_en.vtt |
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| 006 Manipulating Text Data Issue Date.mp4 |
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| 006 More Functionalities of the Exchange Rates API_en.vtt |
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| 006 More Functionalities of the Exchange Rates API.mp4 |
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| 006 More on Text Files (.txt vs .csv)_en.vtt |
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| 006 More on Text Files (.txt vs .csv).mp4 |
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| 006 Probability Distributions in NumPy_en.vtt |
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| 006 Probability Distributions in NumPy.mp4 |
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| 006 The Python Documentation_en.vtt |
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| 006 The Python Documentation.mp4 |
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| 006 Using the .format() Method_en.vtt |
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| 006 Using the .format() Method.mp4 |
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| 007 Applications of Random Data in NumPy_en.vtt |
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| 007 Applications of Random Data in NumPy.mp4 |
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| 007 Argument Where in NumPy_en.vtt |
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| 007 Argument Where in NumPy.mp4 |
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| 007 Bar Chart – Interpreting the Bar Graph. How to Make a Good Bar Graph_en.vtt |
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| 007 Bar Chart – Interpreting the Bar Graph. How to Make a Good Bar Graph.mp4 |
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| 007 Basic Python Syntax - Add Comments_en.vtt |
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| 007 Basic Python Syntax - Add Comments.mp4 |
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| 007 Coding a Simple Currency Conversion Calculator_en.vtt |
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| 007 Coding a Simple Currency Conversion Calculator.mp4 |
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| 007 Errors When Adding Matrices_en.vtt |
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| 007 Errors When Adding Matrices.mp4 |
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| 007 Fixed-width Files_en.vtt |
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| 007 Fixed-width Files.mp4 |
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| 007 Histograms in NumPy (Part 2)_en.vtt |
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| 007 Histograms in NumPy (Part 2).mp4 |
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| 007 Jupyter - Using Shortcuts_en.vtt |
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| 007 Jupyter - Using Shortcuts.mp4 |
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| 007 Manipulating Text Data Loan Status and Term_en.vtt |
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| 007 Manipulating Text Data Loan Status and Term.mp4 |
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| 007 More on Working with Indices in Python_en.vtt |
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| 007 More on Working with Indices in Python.mp4 |
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| 007 NumPy Fundamentals - Exercise.html |
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| 007 Splitting the Reasons for Absence into Multiple Dummy Variables.mp4 |
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| 008 Basic Python Syntax - Line Continuation_en.vtt |
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| 008 Basic Python Syntax - Line Continuation.mp4 |
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| 008 Common Naming Conventions Used in Programming_en.vtt |
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| 008 Common Naming Conventions Used in Programming.mp4 |
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| 008 Generating Data with NumPy - Exercise.html |
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| 008 iTunes API_en.vtt |
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| 008 Jupyter - Handling Error Messages_en.vtt |
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| 008 Jupyter - Handling Error Messages.mp4 |
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| 008 Manipulating Text Data Grade and Sub Grade_en.vtt |
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| 008 NAN Equivalent Functions in NumPy_en.vtt |
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| 008 Pie Chart - Introduction - General Theory and Dataset_en.vtt |
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| 008 Shuffling Ndarrays_en.vtt |
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| 008 Transpose_en.vtt |
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| 008 Transpose.mp4 |
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| 008 Using Methods in Python - Part I_en.vtt |
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| 008 Using Methods in Python - Part I.mp4 |
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| 008 Working with Dummy Variables - A Statistical Perspective_en.vtt |
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| 008 Working with Dummy Variables - A Statistical Perspective.mp4 |
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| 009 Basic Python Syntax - Indexing Elements_en.vtt |
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