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| 001 Colab Notebooks - Asset Allocation and Statistical Data Analysis.html |
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| 001 Colab Notebooks - Capital Asset Pricing Model (CAPM).html |
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| 001 Colab Notebooks - Comparison Operators, Logical Operators and If Statements.html |
82б |
| 001 Colab Notebooks - Data Types.html |
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| 001 Colab Notebooks - Data Visualization with Matplotlib.html |
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| 001 Colab Notebooks - Data Visualization with Seaborn.html |
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| 001 Colab Notebooks - Files Operations.html |
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| 001 Colab Notebooks - ForWhile Loops, Range, List Comprehension.html |
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| 001 Colab Notebooks - Functions.html |
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| 001 Colab Notebooks - Numpy.html |
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| 001 Colab Notebooks - Pandas.html |
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| 001 Colab Notebooks - Perform Bank Customers Segmentation.html |
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| 001 Colab Notebooks - Perform Sentiment Analysis on Stocks Data.html |
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| 001 Colab Notebooks - Predict Future Stock Prices Using MachineDeep Learning.html |
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| 001 Colab Notebooks - Stocks Data Analysis and Visualization in Python.html |
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| 001 Colab Notebooks - Variables Assignment, Math Ops, Precedence, and PrintGet.html |
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| 001 Introduction to Part #1 Python Programming Fundamentals_en.vtt |
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| 001 Introduction to Part #1 Python Programming Fundamentals.mp4 |
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| 001 Introduction to Part #2 Python for Financial Analysis_en.vtt |
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| 001 Introduction to Part #2 Python for Financial Analysis.mp4 |
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| 001 Introduction to Part #3 Machine and Deep Learning in Finance_en.vtt |
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| 001 Introduction to Part #3 Machine and Deep Learning in Finance.mp4 |
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| 001 Welcome Message_en.vtt |
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| 001 Welcome Message.mp4 |
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| 002 Booleans_en.vtt |
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| 002 Booleans.mp4 |
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| 002 Comparison operators_en.vtt |
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| 002 Comparison operators.mp4 |
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| 002 Data Visualization with Seaborn - Part #1_en.vtt |
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| 002 Data Visualization with Seaborn - Part #1.mp4 |
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| 002 For loops_en.vtt |
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| 002 For loops.mp4 |
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| 002 Functions built-in functions_en.vtt |
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| 002 Functions built-in functions.mp4 |
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| 002 Introduction, Success Tips & Best Practices and Key Learning Outcomes_en.vtt |
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| 002 Introduction, Success Tips & Best Practices and Key Learning Outcomes.mp4 |
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| 002 Line Plot_en.vtt |
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| 002 Line Plot.mp4 |
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| 002 Numpy basics_en.vtt |
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| 002 Numpy basics.mp4 |
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| 002 Pandas Introduction to Pandas and DataFrames_en.vtt |
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| 002 Pandas Introduction to Pandas and DataFrames.mp4 |
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| 002 Problem statement and business case_en.vtt |
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| 002 Problem statement and business case.mp4 |
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| 002 Reading & Writing Text Files_en.vtt |
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| 002 Reading & Writing Text Files.mp4 |
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| 002 Task 1_en.vtt |
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| 002 Task 1.mp4 |
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| 002 Variable assignment_en.vtt |
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| 002 Variable assignment.mp4 |
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| 003 Built-in methods_en.vtt |
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| 003 Built-in methods.mp4 |
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| 003 Course Outline and Key Learning Outcomes_en.vtt |
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| 003 Custom functions_en.vtt |
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| 003 Custom functions.mp4 |
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| 003 Data Visualization with Seaborn - Part #2_en.vtt |
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| 003 Data Visualization with Seaborn - Part #2.mp4 |
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| 003 Import libraries and datasets_en.vtt |
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| 003 List_en.vtt |
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| 003 List.mp4 |
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| 003 Logical operators_en.vtt |
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| 003 Logical operators.mp4 |
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| 003 Math operations_en.vtt |
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| 003 Math operations.mp4 |
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| 003 Range_en.vtt |
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| 003 Range.mp4 |
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| 003 Reading & Writing CSV Files_en.vtt |
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| 003 Reading & Writing CSV Files.mp4 |
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| 003 Reading HTML data, and applying functions, and sorting_en.vtt |
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| 003 Scatterplot_en.vtt |
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| 003 Task 2_en.vtt |
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| 003 Task 2.mp4 |
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| 004 Conditional statements - Part #1_en.vtt |
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| 004 Conditional statements - Part #1.mp4 |
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| 004 DataFrame operations_en.vtt |
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| 004 DataFrame operations.mp4 |
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| 004 Dictionaries_en.vtt |
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| 004 Dictionaries.mp4 |
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| 004 Lambda expression_en.vtt |
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| 004 Lambda expression.mp4 |
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| 004 Precedence_en.vtt |
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| 004 Task 3.mp4 |
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| 005 Conditional statements - Part #2_en.vtt |
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| 005 Google Colab Walkthrough_en.vtt |
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| 005 Pandas with functions_en.vtt |
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| 005 Print operation_en.vtt |
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| 005 Understand K-means algorithm_en.vtt |
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| 006 Filter_en.vtt |
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| 006 Filter.mp4 |
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| 006 Get User Input_en.vtt |
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| 006 Get User Input.mp4 |
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| 006 Multiple Plots_en.vtt |
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| 006 Multiple Plots.mp4 |
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| 006 Obtain optimal K_en.vtt |
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| 006 Obtain optimal K.mp4 |
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| 006 Ordering and Sorting_en.vtt |
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| 006 Ordering and Sorting.mp4 |
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| 006 Python for Data Science Learning Path.html |
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| 006 Slicing & indexing_en.vtt |
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| 006 Slicing & indexing.mp4 |
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| 006 Task 5.mp4 |
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| 006 Tuples_en.vtt |
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| 007 Apply K-means clustering_en.vtt |
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| 007 Apply K-means clustering.mp4 |
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| 007 List comprehension_en.vtt |
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| 007 Study Tips For Success.html |
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| 008 3D Plots_en.vtt |
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| 008 Principal component analysis_en.vtt |
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| 008 Principal component analysis.mp4 |
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| 008 Task 7_en.vtt |
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| 008 Task 7.mp4 |
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| 009 BoxPlot_en.vtt |
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| 009 Intuition of autoencoders_en.vtt |
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| 010 Task 9_en.vtt |
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