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Udemy Fantastic Python Data Science and Machine Learning

Category: Courses / Others
Author: AD-TEAM
Date added: 05.04.2024 :07:21
Views: 3
Comments: 0










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Udemy Fantastic Python Data Science and Machine Learning


Download Free Download : Udemy Fantastic Python Data Science and Machine Learning
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:36.03 GB


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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