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Complete Python & Data Analytics Beginner to Advanced
Language: English | Size:36.03 GB
Genre:eLearning

Files Included :

1  Course Introduction.mp4 (38.33 MB)
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2  What Makes This Course Different.mp4 (47.49 MB)
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3  Why Learning Python.mp4 (15.9 MB)
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4  Python as a Programming Language.mp4 (153.55 MB)
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5  The Python Interpreter.mp4 (74.21 MB)
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6  Python is Dynamically Typed.mp4 (47.02 MB)
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1  The Challenge.mp4 (45.97 MB)
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2  Solutions Part 1 Data Cleaning.mp4 (121.26 MB)
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3  Solutions Part 2 Text Analysis.mp4 (79.51 MB)
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1  if-else statement.mp4 (126.72 MB)
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2  A little more complexity.mp4 (75.67 MB)
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3  The switch-case statement for multiple options.mp4 (149.15 MB)
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1  The Classic For-Loop.mp4 (97.05 MB)
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2  For Loops with a Range.mp4 (121.4 MB)
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3  Looping over Strings.mp4 (82.47 MB)
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4  Fabonacci Series and the break keyword in for loops.mp4 (184.07 MB)
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5  For Loops with Twists (Skip & Continue).mp4 (136.21 MB)
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6  Demystifying List Comprehension.mp4 (225.71 MB)
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7  The While Loop.mp4 (40.17 MB)
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8  While Loop with twists (break & continue).mp4 (31.55 MB)
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1  The Challenge.mp4 (30.84 MB)
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2  Solutions 1 Data Cleaning.mp4 (126.68 MB)
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3  Solutions 2 Answering First Two Questions.mp4 (143.21 MB)
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4  Solutions 3 Answering the Rest.mp4 (84.76 MB)
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1  What are Functions.mp4 (225.27 MB)
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10  Functions are Objects Too!.mp4 (92.93 MB)
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2  Function Arguments Positional vs  Named.mp4 (145.29 MB)
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3  Default vs Compulsory Arguments.mp4 (127.83 MB)
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4  The Order of Arguments Matter and Common Mistakes.mp4 (95.02 MB)
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5  Python Fun The Harry Potter Challenge.mp4 (261.47 MB)
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6  Python Standard Library - Math.mp4 (177.98 MB)
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7  Python Standard Library - Random.mp4 (66.24 MB)
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8  The Mystery of args.mp4 (126.22 MB)
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9   Recursive Functions (Horror!) - AdvancedOptional.mp4 (120.48 MB)
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1  The Basic Idea and Setup.mp4 (207.3 MB)
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2  Coding the Complex Simulations.mp4 (146.4 MB)
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3  Visualizing the Result - the Central Limit Theorem.mp4 (120.16 MB)
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1  What is a Dictionary.mp4 (173.79 MB)
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2  Creating Dictionaries via Zip.mp4 (114.45 MB)
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3  The Basic Calories Counter App.mp4 (162.89 MB)
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4  An Interactive Calories Counter App.mp4 (232.37 MB)
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5  How to Loop through a Dictionary.mp4 (130.47 MB)
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6  Dictionary Manipulations.mp4 (124.71 MB)
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7  Are Python Dictionaries Ordered.mp4 (40.35 MB)
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8  A Small Challenge for You!.mp4 (76.56 MB)
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1  The Basic Ideas of OOP.mp4 (367.48 MB)
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2  Creating Classes and Objects.mp4 (83.72 MB)
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3  Class vs  ObjectInstance Variables.mp4 (28.49 MB)
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4  ObjectInstance Methods vs Class Methods vs Static Methods (AdvancedOptional).mp4 (66.55 MB)
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5  Special Dunder (e g    repr  ) Methods.mp4 (60.08 MB)
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1  Inheritance - the Basics.mp4 (26.3 MB)
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2  Inheriting Parent Constructors.mp4 (59.87 MB)
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3  Inheritance in Multiple Generations ('Levels').mp4 (26.8 MB)
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4  Multiple Inheritance.mp4 (27.47 MB)
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5  The Method Resolution Order (MRO).mp4 (32.45 MB)
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6  Composition vs Inheritance.mp4 (51.39 MB)
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1  Basics of Date and Time.mp4 (181.47 MB)
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2  Creating Datetime Objects from ISO Formats.mp4 (141.23 MB)
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3  Convert Arbitrary Strings to Datetime.mp4 (71.61 MB)
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4  Convert Datetime Objects to Other Things.mp4 (51.78 MB)
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5  How to Extract Year, Month and Date from Datetime Objects.mp4 (94.43 MB)
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6  Calculations Involving Date & Time (AdvancedOptional).mp4 (168.98 MB)
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7  Time Zones (AdvancedOptional).mp4 (163.59 MB)
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1  Installations on Windows PC.mp4 (273.88 MB)
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2  Python Package Manager pip on Windows PC.mp4 (114.59 MB)
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3  Installations on Mac.mp4 (132.76 MB)
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4  Python Package Manager pip on Mac.mp4 (59.97 MB)
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1  Introduction to Errors and Exceptions.mp4 (67.12 MB)
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2  Try & Catch Blocks.mp4 (82.76 MB)
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3  Specific Sub-types of Exceptions.mp4 (161.74 MB)
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4  Catching Multiple Types of Exceptions.mp4 (86.76 MB)
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5  The finally Keyword.mp4 (12.79 MB)
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6  The raise Keyword.mp4 (58.66 MB)
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7  Nested Multi-Level Exceptions (AdvancedOptional).mp4 (61.33 MB)
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8  Define Your Own Exceptions (AdvancedOptional).mp4 (66.66 MB)
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1  Installing VS Code.mp4 (52.07 MB)
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2  Basics of Python Modules.mp4 (140.8 MB)
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3  How to Import Modules.mp4 (222.81 MB)
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4  Python Packages and Sub-Packages.mp4 (245.42 MB)
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5  Absolute Import (AdvancedOptional).mp4 (138.87 MB)
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6  Relative Import (AdvancedOptional).mp4 (36.88 MB)
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7    ini   in Packages (AdvancedOptional).mp4 (65.33 MB)
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8  Common Mistakes in Importing.mp4 (89.41 MB)
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9  Concluding Remarks for this Section.mp4 (24.84 MB)
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1  What is   name   =   main.mp4 (49.29 MB)
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2  How   name   variable works.mp4 (40.28 MB)
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3  Practical uses of this line of code.mp4 (84 MB)
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1  What does numpy do.mp4 (167.25 MB)
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2  Creating numpy arrays.mp4 (103.78 MB)
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3  Special arrays and matrices.mp4 (130.94 MB)
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4  Resizing.mp4 (74.51 MB)
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5  Random number generators (optional).mp4 (234.25 MB)
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6  Random Shuffling and Choices (Optional).mp4 (81.62 MB)
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7  Element-wise Computations in Numpy.mp4 (130.76 MB)
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8  Some Matrix Math (AdvancedOptional).mp4 (197.69 MB)
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9  Numpy's Indexing (IMPORTANT).mp4 (263.52 MB)
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1  Conclusion of Part 1 and Study Tips.mp4 (107.12 MB)
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1  Overview of Part 2 and Pandas.mp4 (149.71 MB)
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2  Pandas Series.mp4 (233.92 MB)
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3  Pandas Series - Advanced.mp4 (126.03 MB)
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4  DataFrame 1 Basics.mp4 (178.36 MB)
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5  DataFrame 2 Index, Dictionaries, etc.mp4 (91.95 MB)
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6  DataFrame 3 Computations.mp4 (99.47 MB)
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7  DataFrame 4 Useful Methods.mp4 (153.9 MB)
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8  DataFrame 5 Add and Delete Columns.mp4 (62.99 MB)
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1  Overview of Data File Formats.mp4 (91.73 MB)
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2  How to Read csv.mp4 (146.31 MB)
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2 1 data files.zip (11.41 MB)
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3  How to Read csv Files With Datetime Columns.mp4 (292.22 MB)
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4  Fama-French 3-factors Dataset with headers & footers.mp4 (163.05 MB)
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5  How to Write to csv.mp4 (56.17 MB)
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6  How to Read and Write parquet files.mp4 (120.32 MB)
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7  Tab and Other Deliminated Files.mp4 (22.53 MB)
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8  JSON Files (AdvancedOptional).mp4 (424.92 MB)
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1  Basic Selections in pandas.mp4 (262.64 MB)
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1 1 california restaurants.zip (150.94 KB)
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2  Gotchas!.mp4 (126.28 MB)
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3  The  loc Selector.mp4 (259.25 MB)
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4  The  loc Selector - How to conditionally modify data.mp4 (161.29 MB)
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5  The  iloc Selector.mp4 (116.07 MB)
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6  Reseting the index.mp4 (29.21 MB)
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7  Filtering with Logical Conditions.mp4 (277.89 MB)
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8  Amazing Operation-Chaining-in-Pandas!.mp4 (111.76 MB)
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1  Sort a DataFrame by Single Columns.mp4 (71.61 MB)
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1 1 california restaurants.zip (150.94 KB)
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2  Sort a Data Frame by Multiple Columns.mp4 (180.92 MB)
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3  Counting.mp4 (60.53 MB)
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4  Finding Unique Values.mp4 (105.26 MB)
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5  Finding Duplicated Values.mp4 (130.92 MB)
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6  How to Remove Duplicated Values from a DataFrame.mp4 (127.79 MB)
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1  How to Find Missing Values (NAs).mp4 (192.4 MB)
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1 1 data.zip (210 KB)
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2  Drop Missing Values (NAs).mp4 (302.02 MB)
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3  Fill in Missing Values (NAs).mp4 (16.9 MB)
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4  Forward and Backward Fill.mp4 (109.49 MB)
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5  Fill NAs with Averages.mp4 (186.07 MB)
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6  Using the Replace Method.mp4 (57.53 MB)
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7  Missing Value Interpolations.mp4 (59.21 MB)
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1  Introduction to Python Data Types.mp4 (87.94 MB)
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2  3 Numeric Data Types.mp4 (53.7 MB)
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3  Basic Computations in Python.mp4 (66.32 MB)
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4  How to Calculate ExponentiationPower.mp4 (28.46 MB)
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5  How to Do Integer Divisions and the Remainder Easily.mp4 (55.59 MB)
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6  Complex Numbers for smart Mathematicians and Physicists.mp4 (33.66 MB)
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1  Data Aggregation vs Transformation.mp4 (153.93 MB)
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1 1 aggregation data.zip (10.98 MB)
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2  Basics of Data Aggregation.mp4 (224.44 MB)
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2 1 aggregation data.zip (10.97 MB)
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3  Generating Multiple Statistics for Multiple Columns at Once.mp4 (37.1 MB)
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4  Generating Specific Statistics for Specific Columns.mp4 (119.46 MB)
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5  The Useful idxmax and idxmin methods.mp4 (65.02 MB)
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6  Pandas's Build-in Aggregation Functions.mp4 (84.55 MB)
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7  More Statistics Functions.mp4 (59.54 MB)
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8  User Defined Functions.mp4 (115.71 MB)
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1  Data Transformation Basics with pandas.mp4 (262.23 MB)
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1 1 transformation.zip (10.99 MB)
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2  Transformation Time Series Lags, Shifts and Differences.mp4 (124.23 MB)
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3  The transform method itself.mp4 (153.25 MB)
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4  User Defined Transformation Functions.mp4 (204.46 MB)
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1  apply() in Pandas.mp4 (137.06 MB)
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1 1 realtor-data.zip (10.2 MB)
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2  map() in Pandas.mp4 (64.92 MB)
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3  Interlude Python's Lambda Functions.mp4 (81.15 MB)
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1  The Concept of Split-Apply-Combine Strategy in Data Science.mp4 (115.45 MB)
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1 1 data.zip (21.81 MB)
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2  How to group data.mp4 (108.46 MB)
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2 1 data.zip (21.81 MB)
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3  Summary Statistics by Group.mp4 (175.02 MB)
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4  Python Fun California Restaurants Case with groupby.mp4 (84.37 MB)
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5  How to Transform Data by Group (Stock Prices Case Study).mp4 (184.99 MB)
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6  A Caveat on Transform by Group and Finishing the Stock Prices Case Study.mp4 (109 MB)
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1  String Data Types in pandas and Basic Vectorized Operations.mp4 (232.98 MB)
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1 1 templates.zip (6.56 KB)
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2  Splitting Strings.mp4 (54.28 MB)
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3  Replace, Strip, Zero Fills, etc.mp4 (143.4 MB)
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4  Remove, Slice, Length, etc.mp4 (102.06 MB)
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1  Pandas's Own Way of Handling DateTime.mp4 (29.54 MB)
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1 1 data.zip (349.89 KB)
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2  The Time Stamp.mp4 (130.94 MB)
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2 1 data.zip (349.89 KB)
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3  DateTime Frequencies - Part 1.mp4 (140.44 MB)
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4  DateTime Frequencies - Part 2.mp4 (140.86 MB)
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5  The Powerful  dt Accessor.mp4 (107.66 MB)
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6  DateTime Arithmatics - Absolute TimeDelta (AdvancedOptional).mp4 (64.01 MB)
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7  Better DateTime Arithmatics - Offsets (AdvancedOptional).mp4 (151.93 MB)
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8  Time Series Resampling (AdvancedOptional).mp4 (159.18 MB)
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9  Time Series Resampling by Group (AdvancedOptional).mp4 (136.53 MB)
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1  Pivoting from Long to Wide.mp4 (249.87 MB)
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1 1 data.zip (2.25 MB)
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2  Pivoting Multiple Columns At Once.mp4 (53.05 MB)
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3  Excel-Style pivot table.mp4 (200.58 MB)
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4  Difference Between pivot() and pivot table().mp4 (22.03 MB)
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5  Melt Data From Wide to Long.mp4 (183.57 MB)
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6  Real-World Data  Reshaping the Balance Sheets.mp4 (286.86 MB)
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1  Introduction to Different Ways of Joining DataFrames.mp4 (91.23 MB)
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1 1 data.zip (2.42 MB)
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2  Vertical Merge (concat).mp4 (104.21 MB)
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2 1 data.zip (2.42 MB)
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3  Horizontal Merge Inner Joins.mp4 (112.16 MB)
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4  Horizontal Merge Outer, Left and Right Joins.mp4 (134.82 MB)
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5  Real-World Application Financial Ratios Case 1 - Setup.mp4 (73.84 MB)
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6  Financial Ratios Case 2 - Merge.mp4 (110.22 MB)
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7  Financial Ratios Case 3 - Ratio Calculations.mp4 (116.74 MB)
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8  Financial Ratios Case 4 - Solutions and Wrap Up.mp4 (124.08 MB)
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1  What are Rolling Windows Operations.mp4 (79.81 MB)
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1 1 data.zip (4.94 MB)
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2  Basic Rolling Windows in Pandas.mp4 (144.11 MB)
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2 1 data.zip (4.93 MB)
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3  Complex Rolling Windows by Group.mp4 (61.86 MB)
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4  Exponential Moving Averages.mp4 (25.58 MB)
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1  Introduction to the Problem.mp4 (118.13 MB)
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1 1 data.zip (5.08 MB)
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2  Data Cleaning and Preparation.mp4 (149.01 MB)
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2 1 data.zip (5.09 MB)
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3  Momentum Calculation.mp4 (159.04 MB)
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4  Forward Returns Calculation.mp4 (78.38 MB)
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5  Forming Decile Portfolios.mp4 (64.14 MB)
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6  Obtaining Statistical Results.mp4 (61.24 MB)
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7  Visualizing the Results.mp4 (81.89 MB)
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8  Conclusions to Part 2 Data Analytics and Wrangling with Pandas.mp4 (32.51 MB)
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1  Strings in Python.mp4 (106.23 MB)
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2  The length of a string.mp4 (22.37 MB)
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3  The Power of String indexing.mp4 (125.63 MB)
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4  Find the location of Matching Substrings.mp4 (14.48 MB)
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5  Change to Lower andor Upper Cases.mp4 (97.92 MB)
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6  How to Replace Parts of a String.mp4 (66.32 MB)
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7  How to Strip Whitespaces.mp4 (46.49 MB)
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1  Introduction to Part 3.mp4 (69.57 MB)
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1 1 data.zip (5.66 MB)
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2  Pandas Plots - preparation.mp4 (81.65 MB)
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2 1 data.zip (5.66 MB)
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3  Line Plots.mp4 (194.65 MB)
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4  Subplots.mp4 (72.65 MB)
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5  Bar Plots.mp4 (27.09 MB)
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6  Scatter Plots.mp4 (61.16 MB)
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7  Histogram.mp4 (15.76 MB)
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8  Area Plots.mp4 (12.42 MB)
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9  Pie Plots.mp4 (6.85 MB)
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1  Setup and Preparation.mp4 (110.54 MB)
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1 1 data.zip (11.15 MB)
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2  Scatter Plot Basics.mp4 (188.85 MB)
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3  Scatter Plot Hues and Others.mp4 (140.85 MB)
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4  Bubble Plots.mp4 (97.11 MB)
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5  Multi-Plot Superpower Faceting.mp4 (149.26 MB)
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6  Line Plots for Continuity.mp4 (99.02 MB)
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7  Log Scales.mp4 (62.18 MB)
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8  Line Plots with Multiple Measurements and Uncertainty.mp4 (123.82 MB)
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1  Basic Histograms.mp4 (229.7 MB)
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1 1 data.zip (1.53 MB)
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2  Histograms with Probabilities.mp4 (84.09 MB)
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3  Kernel Density Plots.mp4 (76.39 MB)
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4  Empirical Cummulative Distribution Plots.mp4 (58.35 MB)
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5  Bivariate Plots.mp4 (166.04 MB)
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6  Pairwise Plots.mp4 (64.29 MB)
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1  Basic Categorical Plots.mp4 (174.22 MB)
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1 1 data.zip (810.72 KB)
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2  Boxplot.mp4 (81.8 MB)
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3  Bar Plot.mp4 (31.1 MB)
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4  Regression Plot.mp4 (156.72 MB)
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1  Welcome to Part 4 of this Course Machine Learning.mp4 (152.29 MB)
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1 1 data.zip (313.1 KB)
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2  The Main Idea.mp4 (56.63 MB)
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3   Some Math Details for OLS (AdvancedOptional).mp4 (43.84 MB)
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4  Training OLS Regression Model with Scikit-Learn.mp4 (96.08 MB)
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4 1 data.zip (313.1 KB)
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5  Regression with statsmodels package.mp4 (46.14 MB)
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6  Dummy Variables.mp4 (82.89 MB)
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7  The Concept of Dummy Variables & OneHotEncoding.mp4 (44.43 MB)
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8  Assumptions of OLS Linear Regressions - 1.mp4 (37.79 MB)
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9  Assumptions of OLS Linear Regressions - 2.mp4 (68.22 MB)
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1  The Main Idea 1.mp4 (72.82 MB)
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1 1 data.zip (124.84 KB)
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2  The Main Idea 2.mp4 (68.6 MB)
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3  Data Preprocessing.mp4 (187.38 MB)
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3 1 data.zip (124.84 KB)
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4  Fit Logistic Regression Models.mp4 (143.02 MB)
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5  Evaluate Model Performance.mp4 (110.61 MB)
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6  Use Categorical Label Variables.mp4 (77.15 MB)
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7  Iris Flower Example.mp4 (249.18 MB)
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1  The Main Idea.mp4 (245 MB)
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1 1 data.zip (17.38 MB)
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2  Data Preprocessing.mp4 (178.37 MB)
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2 1 data.zip (17.39 MB)
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3  Data Visualization.mp4 (71.53 MB)
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4  Sample Splitting.mp4 (36.38 MB)
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5  LDA Model Training.mp4 (124.09 MB)
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6  Performance Evaluation.mp4 (78.56 MB)
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7  Real-World Application Hand-written Digits Recognition.mp4 (481.42 MB)
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1  The Main Idea 1.mp4 (288.29 MB)
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1 1 data.zip (226.6 KB)
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2  The Main Idea 2.mp4 (157.69 MB)
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3  Data Preprocessing.mp4 (155.66 MB)
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3 1 data.zip (226.6 KB)
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4  Training the PCA Model.mp4 (135.18 MB)
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5  Get Principal Components Out.mp4 (120.65 MB)
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6  Classification with Logistic Regression.mp4 (82.75 MB)
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7  The Math behind (AdvancedOptional).mp4 (49.51 MB)
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8  Case World Happiness Index.mp4 (399.4 MB)
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1  The Main Idea 1.mp4 (218.39 MB)
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1 1 data.zip (441.32 KB)
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2  The Main Idea 2.mp4 (169.09 MB)
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3  Fit the Model.mp4 (193.65 MB)
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4  Plot Clusters.mp4 (42.92 MB)
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5  World Happiness.mp4 (327.94 MB)
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1  The Main Idea.mp4 (334.9 MB)
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1 1 data.zip (67.18 KB)
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2  Data Preprocessing (Wine).mp4 (138.5 MB)
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2 1 data.zip (67.18 KB)
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3  Fit the KNN Classifier (Wine).mp4 (97.87 MB)
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4  KNN Regression (Penguins).mp4 (142.68 MB)
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5  Hyper-parameters Tuning By Hand.mp4 (109.55 MB)
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6  Hyper-parameters Tuning via GridSearchCV.mp4 (168.87 MB)
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1  The Boolean Data Type.mp4 (43.92 MB)
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2  Logical Operator AND.mp4 (35.68 MB)
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3  Logical Operator OR.mp4 (27.44 MB)
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4  Logical Operator NOT.mp4 (21.59 MB)
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5  CompoundComplex Logical Operations.mp4 (50.2 MB)
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1  The Main Idea 1.mp4 (129.12 MB)
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1 1 data.zip (586.63 KB)
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2  The Main Idea 2.mp4 (183.19 MB)
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3  Data Preprocessing & Visualization.mp4 (162.37 MB)
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3 1 data.zip (586.63 KB)
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4  Eigen Faces.mp4 (61.06 MB)
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5  Fit the SVM.mp4 (94.3 MB)
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6  Look at our Predictions.mp4 (37.6 MB)
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1  The Main Idea 1.mp4 (239.86 MB)
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1 1 data.zip (311.29 KB)
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2  The Main Idea 2.mp4 (137.65 MB)
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3  Neural Net Training.mp4 (179.02 MB)
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3 1 data.zip (311.29 KB)
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4  Hyper-parameter Tuning.mp4 (99.21 MB)
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1  Concluding Remarks from Dr  Wang.mp4 (23.98 MB)
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1  The None Type.mp4 (17.99 MB)
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2  Converting to-and-from Numeric Data Types.mp4 (168.16 MB)
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3  Converting to-and-from Strings.mp4 (71.04 MB)
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4  Converting to-and-from Booleans.mp4 (33.41 MB)
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5  Converting to-and-from None.mp4 (33.28 MB)
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1  How to Create, Name and Destroy Variables.mp4 (147.13 MB)
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2  Handy Tricks in Creating Variables.mp4 (40.12 MB)
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3  More Handy Tricks in Creating Variables.mp4 (47.56 MB)
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1  What are Lists and Tuples.mp4 (115.69 MB)
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2  Indexing Lists.mp4 (115.95 MB)
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3  How to Add and Delete Items in a List.mp4 (386.85 MB)
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4  How to Manipulate Lists.mp4 (193.55 MB)
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5  The Weird Copying Behaviors.mp4 (172.19 MB)
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6  A Challenge for You!.mp4 (104.62 MB)
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7  Tuples.mp4 (124.38 MB)
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8  Unpacking Lists & Tuples Easily.mp4 (91.58 MB)
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1  What are Sets.mp4 (162.78 MB)
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2  Basic Syntax for Sets.mp4 (185.29 MB)
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3  Modifying Sets and Other Set Operations.mp4 (97.23 MB)
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Complete_Python_&_Data_Analytics_Beginner_to_Advanced.z01

Код:
https://rapidgator.net/file/831008f46a4661665671fd37beb51376/Complete_Python__Data_Analytics_Beginner_to_Advanced.z01

Complete_Python_&_Data_Analytics_Beginner_to_Advanced.z02

Код:
https://rapidgator.net/file/8213bc73142bb793f9849f0815149680/Complete_Python__Data_Analytics_Beginner_to_Advanced.z02

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