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9. Other Methods and Operators/6. Arithmetic and Comparison Operators.mp4 216.2 MB
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11. Documentation, Strings, and Reading CSVs/2. String-only Methods.mp4 172.9 MB
2. Environment Setup/2. Setting up the Development Environment.mp4 165.2 MB
3. Getting Ready to Code/3. Manually Test in a Jupyter Notebook.mp4 156.9 MB
10. Pivot Tables/1. Pivot Tables Part 1.mp4 154.2 MB
1. Project Genesis/1. Project Overview.mp4 152.9 MB
4. DataFrame Construction/3. Convert Unicode Arrays to Object.mp4 149.3 MB
9. Other Methods and Operators/3. Non-Aggregation Methods.mp4 147.7 MB
2. Environment Setup/3. Test-Driven Development.mp4 146.7 MB
9. Other Methods and Operators/8. The sample Method.mp4 137.9 MB
5. Basic Properties and Visual Representation/5. Visual Notebook Representation.mp4 137.3 MB
6. Subset Selection/6. Select Rows as Booleans, Lists, or Slices.mp4 134.0 MB
5. Basic Properties and Visual Representation/3. Set New Column Names.mp4 133.5 MB
9. Other Methods and Operators/7. The sort_values Method.mp4 129.0 MB
5. Basic Properties and Visual Representation/7. The dtypes Property.mp4 120.3 MB
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06 Heap/075 Insertion in Heap.mp4 37.2 MB
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05 Binary Search Tree/072 Deletion in a Binary Search Tree.mp4 28.1 MB
02 Linked List/022 Merging of sorted Linked lists.mp4 27.1 MB
08 Searching/117 Implementation of Binary Search.mp4 26.2 MB
03 Stack and Queue/037 Array Implementation of Stack.mp4 25.8 MB
02 Linked List/024 Finding and Removing a cycle in a Linked list.mp4 25.0 MB
09 Hashing/127 Implementation of Open Addressing.mp4 23.7 MB
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03 Stack and Queue/049 Converting infix expression to postfix expression.mp4 23.1 MB
03 Stack and Queue/040 Array Implementation of Queue.mp4 21.9 MB
02 Linked List/021 Sorting a Linked list using Bubble Sort.mp4 21.0 MB
09 Hashing/123 Open Addressing Linear Probing.mp4 19.8 MB
02 Linked List/026 Insertion in a doubly linked List.mp4 19.3 MB
02 Linked List/015 Traversing and Searching a Single Linked List.mp4 17.7 MB
05 Binary Search Tree/071 Insertion in a Binary Search Tree.mp4 17.5 MB
06 Heap/076 Deletion.mp4 17.5 MB
02 Linked List/027 Deletion from doubly linked list.mp4 17.1 MB
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15 Business Case/095 Business Case - A Look Into the Automobile Industry.mp4 195.3 MB
13 Auto ARIMA/084 Basic Auto ARIMA Arguments.mp4 91.7 MB
07 Modeling Autoregression The AR Model/036 Fitting Higher-Lag AR Models for Prices.mp4 66.2 MB
14 Forecasting/094 Forecasting Appendix Multivariate Forecasting.mp4 60.5 MB
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08 Adjusting to Shocks The MA Model/047 Fitting Higher-Lag MA Models for Returns.mp4 58.6 MB
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09 Past Values and Past Errors The ARMA Model/057 Examining the ARMA Model Residuals of Returns.mp4 53.8 MB
14 Forecasting/087 Introduction to Forecasting.mp4 53.7 MB
14 Forecasting/092 Pitfalls of Forecasting.mp4 50.2 MB
01 Introduction/001 What does the course cover.mp4 49.6 MB
03 Introduction to Time Series in Python/010 Introduction to Time-Series Data.mp4 49.5 MB
10 Modeling Non-Stationary Data The ARIMA Model/067 Seasonal Models - SARIMAX.mp4 49.2 MB
10 Modeling Non-Stationary Data The ARIMA Model/060 The Autoregressive Integrated Moving Average (ARIMA) Model.mp4 49.2 MB
05 Working with Time Series in Python/024 White Noise.mp4 48.6 MB
07 Modeling Autoregression The AR Model/033 The Autoregressive (AR) Model.mp4 47.5 MB
09 Past Values and Past Errors The ARMA Model/056 Fitting a Higher-Lag ARMA Model for Returns - Part 3.mp4 45.9 MB
10 Modeling Non-Stationary Data The ARIMA Model/063 Fitting a Higher-Lag ARIMA Model for Prices - Part 2.mp4 45.8 MB
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48 - 9.2 Learn SciPy.mp4 697.3 MB
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24 - 5.1 Use lists and tuples.mp4 387.9 MB
85 - 16.2 Visual Studio Code.mp4 382.4 MB
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75 - 14.2 Read and write with Pandas - CSV, JSON.mp4 352.8 MB
49 - 9.3 Learn Pandas.mp4 351.9 MB
07 - 2.1 Create your first Colab document.mp4 344.8 MB
45 - 8.5 Advanced Use of Functions.mp4 334.5 MB
72 - 13.3 Sort in Pandas.mp4 316.6 MB
47 - 9.1 Learn NumPy.mp4 301.9 MB
67 - 12.2 Use regular expressions.mp4 298.4 MB
52 - 9.6 Use Plotly for interactive plots.mp4 274.8 MB
51 - 9.5 Use Seaborn for 2D plots.mp4 274.4 MB
10 - 2.4 Understand compatibility with Jupyter.mp4 270.6 MB
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1.02 Sex and Violence.mkv 419.2 MB
4.01 The Golden Age of Ballooning.mkv 418.1 MB
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1.10. Untitled.mkv 388.0 MB
2.12 Spam.mkv 386.1 MB
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2.13 Royal Episode 13.mkv 382.8 MB
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1. Installation and Setup/6. Mac OS - Update Anaconda Libraries.mp4 37.0 MB
1. Installation and Setup/1. Introduction to the Course.mp4 35.7 MB
10. Working with Dates and Times/16. More Fun with pd.DateOffset Objects.mp4 33.5 MB
4. DataFrames II/2. Filter a DataFrame Based on A Condition.mp4 28.7 MB
9. Merging, Joining, and Concatenating/7. Outer Joins.mp4 27.2 MB
5. DataFrames III/3. Retrieve Rows by Index Label with .loc[].mp4 27.1 MB
10. Working with Dates and Times/15. pd.DateOffset Objects.mp4 26.8 MB
10. Working with Dates and Times/11. Import Financial Data Set with pandas_datareader Library.mp4 26.7 MB
4. DataFrames II/1. This Module's Dataset + Memory Optimization.mp4 25.6 MB
3. DataFrames I/11. The .astype() Method.mp4 25.0 MB
8. GroupBy/2. First Operations with groupby Object.mp4 24.2 MB
10. Working with Dates and Times/5. The pd.to_datetime() Method.mp4 24.0 MB
9. Merging, Joining, and Concatenating/10. Merging by Indexes with the left_index and right_index Parameters.mp4 23.8 MB
7. MultiIndex/14. The .pivot_table() Method.mp4 23.2 MB
1. Installation and Setup/7. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp4 23.2 MB
8. GroupBy/7. Iterating through Groups.mp4 22.4 MB
2. Series/7. Import Series with the .read_csv() Method.mp4 22.2 MB
7. MultiIndex/2. Create a MultiIndex with the set_index() Method.mp4 22.1 MB
9. Merging, Joining, and Concatenating/8. Left Joins.mp4 22.0 MB
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15 Email/002 Checking Your Email Inbox.mp4 116.4 MB
11 Files/001 Filenames and AbsoluteRelative File Paths.mp4 103.1 MB
10 Regular Expressions/007 Regex Example Program A Phone and Email Scraper.mp4 98.4 MB
07 Dictionaries/001 The Dictionary Data Type.mp4 97.3 MB
10 Regular Expressions/004 Regex Character Classes and the findall Method.mp4 82.7 MB
10 Regular Expressions/003 Repetition in Regex Patterns and GreedyNongreedy Matching.mp4 81.9 MB
14 Excel, Word, and PDF Documents/003 Reading and Editing PDFs.mp4 81.1 MB
10 Regular Expressions/005 Regex Dot-Star and the CaretDollar Characters.mp4 78.3 MB
12 Debugging/001 The raise and assert Statements.mp4 71.3 MB
12 Debugging/003 Using the Debugger.mp4 69.2 MB
13 Web Scraping/004 Controlling the Browser with the Selenium Module.mp4 66.1 MB
13 Web Scraping/003 Parsing HTML with the Beautiful Soup Module.mp4 65.9 MB
16 GUI Automation/001 Controlling the Mouse from Python.mp4 65.5 MB
14 Excel, Word, and PDF Documents/004 Reading and Editing Word Documents.mp4 65.1 MB
11 Files/002 Reading and Writing Plaintext Files.mp4 64.3 MB
05 Writing a Complete Program Guess the Number/001 Writing a Guess the Number Program.mp4 64.0 MB
08 More About Strings/002 String Methods.mp4 63.7 MB
09 Running Programs from the Command Line/001 Launching Python Programs from Outside IDLE.mp4 60.8 MB
06 Lists/004 Similarities Between Lists and Strings.mp4 60.8 MB
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05.Implementing Predictive Models for Categorical Data/05.06.Demo Selecting..Information.mp4 55.7 MB
03.Performing Hypothesis Testing in Python/03.07.Demo Two-way ANOVA.mp4 21.6 MB
03.Performing Hypothesis Testing in Python/03.02.Demo Preparing Data for Hypothesis Testing.mp4 19.8 MB
03.Performing Hypothesis Testing in Python/03.08.Demo Chi2 Analysis.mp4 18.4 MB
03.Performing Hypothesis Testing in Python/03.04.Demo Performing Welch's t-test.mp4 16.2 MB
03.Performing Hypothesis Testing in Python/03.03.Demo Performing the Independent t-test.mp4 15.8 MB
05.Implementing Predictive Models for Categorical Data/05.05.Demo Performing Classification Using Logistic Regression.mp4 15.6 MB
04.Implementing Predictive Models for Continuous Data/04.05.Demo Preparing Data for Simple Linear Regression.mp4 14.9 MB
04.Implementing Predictive Models for Continuous Data/04.08.Demo Selecting..Using Correlations.mp4 13.8 MB
03.Performing Hypothesis Testing in Python/03.06.Demo One-way ANOVA and Tukey's Honest Significant Difference Test.mp4 13.2 MB
03.Performing Hypothesis Testing in Python/03.05.Demo Performing the Paired Difference t-test.mp4 12.8 MB
04.Implementing Predictive Models for Continuous Data/04.06.Demo Linear ..Techniques.mp4 12.5 MB
02.Understanding Inferential Statistics/02.10.One-way ANOVA.mp4 12.4 MB
02.Understanding Inferential Statistics/02.09.Other Types of t-tests.mp4 12.2 MB
01.Course Overview/01.01.Course Overview.mp4 11.7 MB
05.Implementing Predictive Models for Categorical Data/05.02.The Intuition behind Logistic Regression.mp4 11.3 MB
05.Implementing Predictive Models for Categorical Data/05.04.Accuracy, Precision, and Recall.mp4 10.4 MB
02.Understanding Inferential Statistics/02.04.Introducing Hypothesis Testing.mp4 9.6 MB
02.Understanding Inferential Statistics/02.05.Lady Tasting Tea.mp4 9.6 MB
05.Implementing Predictive Models for Categorical Data/05.07.Summary and Further Study.mp4 9.2 MB
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6 - Message Queueing - Simple Queue Service (SQS) with Boto3/32 - Changing Message Visibility Timeouts.mp4 90.1 MB
5 - Queue Operations - Simple Queue Service (SQS) with Boto3/22 - Creating a FIFO Queue.mp4 86.0 MB
6 - Message Queueing - Simple Queue Service (SQS) with Boto3/29 - Sending Batch Messages to Queue.mp4 83.1 MB
8 - Topic Subscriptions - Simple Notification Service (SNS) with Boto3/48 - Publishing and Receiving Subscription Messages.mp4 75.1 MB
8 - Topic Subscriptions - Simple Notification Service (SNS) with Boto3/39 - Creating Email Subscription.mp4 70.9 MB
8 - Topic Subscriptions - Simple Notification Service (SNS) with Boto3/46 - Opting Out of SMS Subscription.mp4 67.6 MB
5 - Queue Operations - Simple Queue Service (SQS) with Boto3/24 - Getting and Listing Queues.mp4 60.7 MB
6 - Message Queueing - Simple Queue Service (SQS) with Boto3/30 - Receiving Messages (Polling).mp4 57.9 MB
5 - Queue Operations - Simple Queue Service (SQS) with Boto3/26 - Updating Queue Properties.mp4 55.7 MB
8 - Topic Subscriptions - Simple Notification Service (SNS) with Boto3/41 - Creating SQS Queue Subscription.mp4 52.0 MB
7 - Topic Operations - Simple Notification Service (SNS) with Boto3/37 - Updating Topic Attributes.mp4 49.2 MB
8 - Topic Subscriptions - Simple Notification Service (SNS) with Boto3/40 - Creating SMS Subscription.mp4 47.1 MB
2 - Preparing the Environment for Development/09 - Let's Create Our AWS Credentials!.mp4 46.1 MB
7 - Topic Operations - Simple Notification Service (SNS) with Boto3/34 - Creating Topics.mp4 45.8 MB
6 - Message Queueing - Simple Queue Service (SQS) with Boto3/33 - Purging the Queue.mp4 44.2 MB
5 - Queue Operations - Simple Queue Service (SQS) with Boto3/23 - Creating a Dead-Letter Queue and Binding to a Queue.mp4 42.5 MB
5 - Queue Operations - Simple Queue Service (SQS) with Boto3/20 - Setting Up Our Project with PyCharm IDE.mp4 42.3 MB
8 - Topic Subscriptions - Simple Notification Service (SNS) with Boto3/43 - Checking If Phone Number Opted Out.mp4 42.2 MB
8 - Topic Subscriptions - Simple Notification Service (SNS) with Boto3/42 - Getting and Listing Topic Subscriptions.mp4 42.0 MB
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3. 10 game section --Know about Turtle/11. Pacman.mp4 448.3 MB
2. Basic Fundamentals of Python/21. Object Oriented Programming.mp4 380.1 MB
8. Complete Mario Game (LEVEL 1)/8. Functions of Mario.mp4 343.1 MB
8. Complete Mario Game (LEVEL 1)/23. Info panel for game.mp4 330.6 MB
8. Complete Mario Game (LEVEL 1)/19. Render everything.mp4 310.3 MB
8. Complete Mario Game (LEVEL 1)/33. collisions between objects.mp4 278.5 MB
8. Complete Mario Game (LEVEL 1)/14. Make enemy for game.mp4 276.2 MB
8. Complete Mario Game (LEVEL 1)/6. Extract mario from sprite sheet.mp4 259.8 MB
2. Basic Fundamentals of Python/19. Packing and Unpacking Arguments.mp4 255.2 MB
6. Angry Bird Game/12. Make main loop for game.mp4 242.3 MB
2. Basic Fundamentals of Python/15. Data Structures Dictionaries.mp4 237.7 MB
8. Complete Mario Game (LEVEL 1)/21. Blit everything.mp4 236.3 MB
8. Complete Mario Game (LEVEL 1)/35. Render everything and Play game.mp4 235.9 MB
8. Complete Mario Game (LEVEL 1)/31. check mario for x collisions.mp4 235.2 MB
8. Complete Mario Game (LEVEL 1)/28. Check for mario movements.mp4 234.4 MB
7. Race Game -- USE AI FOR TRAFFIC/11. Work with AI and Play Game.mp4 229.3 MB
7. Race Game -- USE AI FOR TRAFFIC/9. Event handle and render map.mp4 212.9 MB
6. Angry Bird Game/17. Build more Level.mp4 211.3 MB
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15. Recursion/12. Recursion Interview Problem - 4 - SOLUTION.mp4 73.6 MB
18. Graph Algorithms/4. Implementation of a Graph (Adjacency List).mp4 66.6 MB
17. Searching and Sorting/7. Implementation of a Hash Table.mp4 63.5 MB
16. Trees/7. Binary Heap Implementation.mp4 56.0 MB
11. Algorithm Analysis and Big O/4. Big O Examples.mp4 49.8 MB
12. Array Sequences/2. Low Level Arrays.mp4 45.6 MB
12. Array Sequences/4. Dynamic Array Excercise.mp4 45.5 MB
16. Trees/9. Implementation of Binary Search Trees - Part 1.mp4 44.7 MB
15. Recursion/10. Recursion Interview Problem - 3 - SOLUTION.mp4 42.7 MB
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15. Recursion/8. Recursion Interview Problem - 2 - SOLUTION.mp4 38.8 MB
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18. Graph Algorithms/9. Implementation of Graph Overview.mp4 38.3 MB
16. Trees/10. Implementation of Binary Search Trees - Part 2.mp4 38.1 MB
15. Recursion/3. Recursion Homework Example Problems - SOLUTIONS.mp4 37.9 MB
17. Searching and Sorting/22. Implementation of Quick Sort.mp4 36.6 MB
17. Searching and Sorting/20. Implementation of Merge Sort.mp4 35.3 MB
17. Searching and Sorting/6. Hashing.mp4 34.8 MB
11. Algorithm Analysis and Big O/3. Big O Notation.mp4 34.2 MB
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09 Appendix/035 How to install Numpy Scipy Matplotlib and Sci-Kit Learn.mp4 46.0 MB
04 Decision Trees/021 Decision Tree in Code.mp4 31.8 MB
09 Appendix/036 How to Code by Yourself part 1.mp4 25.7 MB
02 K-Nearest Neighbor/006 KNN in Code with MNIST.mp4 18.8 MB
06 Practical Machine Learning/030 Sci-Kit Learn.mp4 16.6 MB
03 Naive Bayes and Bayes Classifiers/010 Naive Bayes.mp4 16.5 MB
09 Appendix/037 How to Code by Yourself part 2.mp4 15.5 MB
03 Naive Bayes and Bayes Classifiers/012 Naive Bayes in Code with MNIST.mp4 15.1 MB
04 Decision Trees/019 Maximizing Information Gain.mp4 14.6 MB
05 Perceptrons/023 Perceptron in Code.mp4 14.4 MB
05 Perceptrons/022 Perceptron Concepts.mp4 12.8 MB
07 Building a Machine Learning Web Service/033 Building a Machine Learning Web Service Code.mp4 12.4 MB
06 Practical Machine Learning/031 Regression with Sci-Kit Learn is Easy.mp4 11.3 MB
03 Naive Bayes and Bayes Classifiers/015 Linear Discriminant Analysis LDA and Quadratic Discriminant Analysis QDA.mp4 10.9 MB
01 Introduction and Review/004 How to Succeed in this Course.mp4 9.2 MB
05 Perceptrons/024 Perceptron for MNIST and XOR.mp4 9.2 MB
06 Practical Machine Learning/028 Comparison to Deep Learning.mp4 9.1 MB
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