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[FreeCourseSite.com] Udemy - Machine Learning A-Z™ Python & R in Data Science [2023]/[FreeCourseSite.com] Udemy - Machine Learning A-Z™ Python & R in Data Science [2023].part2.rar 6.4 GB
[FreeCourseSite.com] Udemy - Machine Learning A-Z™ Python & R in Data Science [2023]/[FreeCourseSite.com] Udemy - Machine Learning A-Z™ Python & R in Data Science [2023].part3.rar 78.6 MB
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1.Frontend/11. Inbound Marketing Flow/2. Aula 2 Post de Blog/1. profissao-desenvolvedor-full-stack-python M11 L02 C01 Post de Blog.mp4 268.6 MB
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1.Frontend/30. Media management with CSS/2. Aula 2 SVG/1. ProfissãoDesenvolvedorFullStackPython m27_class02.mp4 223.7 MB
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Mega.Python.vs.Gatoroid.avi 735.2 MB
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【压缩文件】 Boa vs. Python - As Predadoras DVD-R Oficial NTSC (2004)

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Boa vs. Python - As Predadoras DVD-R Oficial NTSC (2004).ISO 4.2 GB
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Chapter 3-Lists Tuples Sets and Dictionaries in Python/32. Working with List Methods.mp4 115.7 MB
Chapter 3-Lists Tuples Sets and Dictionaries in Python/39. Basics of Dictionary.mp4 77.9 MB
Chapter 3-Lists Tuples Sets and Dictionaries in Python/36. Tuple Indexing and Slicing.mp4 60.0 MB
Chapter 6-Stacks/56. Implementing Stacks in Python.mp4 59.1 MB
Chapter 7-Queues/63. Understanding Queues.mp4 58.9 MB
Chapter 6-Stacks/60. Linked List Implementation of Stacks in Python.mp4 57.2 MB
Chapter 5-Linked Lists/48. Basics of Linked lists.mp4 50.0 MB
Chapter 5-Linked Lists/53. Finding maximum value in a Linked list.mp4 47.9 MB
Chapter 7-Queues/67. Implementing Queues Using LinkedLists.mp4 45.1 MB
Chapter 6-Stacks/62. Using Stacks for Checking Balanced Parenthesis.mp4 37.4 MB
Chapter 8-Trees/71. Representation of a Binary Tree.mp4 35.3 MB
Chapter 8-Trees/77. Sum of Elements in a Binary Tree.mp4 34.5 MB
Chapter 3-Lists Tuples Sets and Dictionaries in Python/29. Accessing Elements --& Searching Element in a List.mp4 33.3 MB
Chapter 5-Linked Lists/49. Inserting an Element in a Linked List.mp4 32.2 MB
Chapter 4-Recursion/44. Example program1 on functions.mp4 31.7 MB
Chapter 3-Lists Tuples Sets and Dictionaries in Python/31. Indexing and Slicing in Lists.mp4 30.5 MB
Chapter 6-Stacks/59. Implementing Stacks Using Queue-Lifo Queue in Python.mp4 27.5 MB
Chapter 6-Stacks/55. Understanding Stacks.mp4 26.8 MB
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003. Using Python for Simple Tasks.mp4 181.2 MB
006. Iterations.mp4 166.7 MB
002. Setting up Python.mp4 164.9 MB
012. Standard Library Functions.mp4 154.1 MB
005. Functions.mp4 149.3 MB
010. Tuples.mp4 146.1 MB
008. Lists.mp4 141.5 MB
009. Dictionaries.mp4 139.6 MB
013. Putting it all Together.mp4 137.0 MB
011. Manipulating Files.mp4 136.3 MB
004. Decision Making in Python.mp4 133.7 MB
007. Strings and more Iteration.mp4 118.5 MB
001. Overview.mp4 23.1 MB
003. Using Python for Simple Tasks.en.srt 61.4 kB
004. Decision Making in Python.en.srt 50.7 kB
002. Setting up Python.en.srt 48.1 kB
006. Iterations.en.srt 46.2 kB
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3. Python Data Structures and Algorithms/2 - The Stack Data Structure/2. Build a stack class in Python.mp4 43.1 MB
3. Python Data Structures and Algorithms/4 - Depth-First Search Algorithm/4. Code a depth-first search in Python.mp4 38.2 MB
3. Python Data Structures and Algorithms/5 - The Queue Data Structure/2. Build a queue class in Python.mp4 26.4 MB
3. Python Data Structures and Algorithms/6 - The Breadth-First Search Algorithm/3. Code a breadth-first search in Python.mp4 26.1 MB
5. Python GUI Development with Tkinter/0 - Introduction/1. Create a GUI for your Python desktop application.mp4 25.6 MB
3. Python Data Structures and Algorithms/8 - The A Search Algorithm/3. Code the A algorithm in Python.mp4 25.2 MB
3. Python Data Structures and Algorithms/7 - The Priority Queue Data Structure/2. Use the heap module to implement a priority queue.mp4 22.3 MB
1. Hands-On Introduction Python onehack.us/3 - Let's Build Something!/1. Reading a CSV file.mp4 20.8 MB
3. Python Data Structures and Algorithms/8 - The A Search Algorithm/2. Visualize the A algorithm.mp4 20.5 MB
3. Python Data Structures and Algorithms/1 - Pathfinding Algorithms in a Maze Game/1. Understand the example application.mp4 17.6 MB
1. Hands-On Introduction Python onehack.us/0 - Introduction/3. Using GitHub Codespaces with this course.mp4 17.4 MB
6. Create an Open-Source Project in Python/3 - Tidy Up Your Code/1. What is PEP 8.mp4 16.9 MB
7. Build Three Real-World Python Applications/3 - Text Analysis on Great Expectations Novel/8. How to perform Vader sentiment analysis.mp4 16.8 MB
7. Build Three Real-World Python Applications/3 - Text Analysis on Great Expectations Novel/4. How to clean text data.mp4 16.5 MB
4. Python Automation and Testing/2 - Parsing the HTML DOM Structure/9. Solution.mp4 16.5 MB
4. Python Automation and Testing/2 - Parsing the HTML DOM Structure/7. Solution.mp4 16.2 MB
7. Build Three Real-World Python Applications/3 - Text Analysis on Great Expectations Novel/10. How to perform topic modeling.mp4 15.8 MB
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1. Hands-On Introduction Python onehack.us/3 - Let's Build Something!/3. Outputting JSON.mp4 15.5 MB
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Chapter 1-Python Essentials/40. Regular Expressions.mp4 103.5 MB
Chapter 2-Djamgo Framework/69. Query --& Try Exeption Block.mp4 95.2 MB
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Chapter 1-Python Essentials/30. OOP Approach.mp4 82.1 MB
Chapter 2-Djamgo Framework/55. Render a Template 2.mp4 76.2 MB
Chapter 1-Python Essentials/9. Sets.mp4 75.9 MB
Chapter 1-Python Essentials/13. Strings.mp4 73.8 MB
Chapter 2-Djamgo Framework/52. URL Dispatcher Requests --& Responses.mp4 72.8 MB
Chapter 1-Python Essentials/8. Tuples.mp4 72.2 MB
Chapter 2-Djamgo Framework/60. Django Forms.mp4 71.5 MB
Chapter 2-Djamgo Framework/54. Render a Template 1.mp4 70.0 MB
Chapter 1-Python Essentials/37. While Loop.mp4 69.9 MB
Chapter 1-Python Essentials/24. Functions.mp4 69.8 MB
Chapter 1-Python Essentials/15. Numbers.mp4 69.5 MB
Chapter 2-Djamgo Framework/57. Image Inside a Template.mp4 68.3 MB
Chapter 2-Djamgo Framework/66. Creating Calculator App - 2.mp4 66.8 MB
Chapter 1-Python Essentials/1. Introduction.mp4 66.1 MB
Chapter 2-Djamgo Framework/59. Bootstrap Forms with Django - Backend Code.mp4 64.8 MB
Chapter 2-Djamgo Framework/58. Bootstrap Forms with Django.mp4 64.8 MB
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12_088_criando a interface grafica.mp4 218.1 MB
11_081_cadastrando empresa no banco.mp4 196.2 MB
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12_089_baixando audio video e playlist do yt.mp4 180.4 MB
03_012_solucao do exercicio.mp4 126.6 MB
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11_075_construindo a interface grafica.mp4 96.0 MB
03_015_qcheckbox.mp4 95.1 MB
08_055_qtableview alterando o tipo de edicao.mp4 90.1 MB
09_065_aplicando estilos.mp4 87.2 MB
08_054_qtableview conectando ao banco de dados.mp4 86.4 MB
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4. Time Series Analysis/6. Case study- Sales dashboard.mp4 27.3 MB
2. Introduction to pandas/2. pandas DataFrame and Series.mp4 21.4 MB
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3. Data Analysis/2. Working with text data.mp4 20.7 MB
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3. Data Analysis/3. Combining DataFrames.mp4 19.3 MB
3. Data Analysis/1. Data cleaning.mp4 18.9 MB
3. Data Analysis/5. Plotting.mp4 16.9 MB
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4. Time Series Analysis/2. Time series analysis with pandas DataFrames.mp4 15.9 MB
4. Time Series Analysis/4. Comparing time series.mp4 15.5 MB
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4. Time Series Analysis/5. Resampling and correlation.mp4 14.8 MB
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4. Working with Regression Trees/1. How to build a regression tree in Python.mp4 23.9 MB
2. Decision Trees/5. How to prune a decision tree.mp4 21.2 MB
4. Working with Regression Trees/3. How to prune a regression tree in Python.mp4 18.8 MB
3. Working with Classification Trees/1. How to build a classification tree in Python.mp4 18.6 MB
2. Decision Trees/3. How do classification trees measure impurity.mp4 16.1 MB
2. Decision Trees/2. How is a classification tree built.mp4 15.4 MB
2. Decision Trees/4. How is a regression tree built.mp4 15.1 MB
3. Working with Classification Trees/3. How to prune a classification tree in Python.mp4 14.8 MB
4. Working with Regression Trees/2. How to visualize a regression tree in Python.mp4 14.1 MB
3. Working with Classification Trees/2. How to visualize a classification tree in Python.mp4 13.2 MB
2. Decision Trees/1. What is a decision tree.mp4 13.0 MB
2. Decision Trees/6. Why and when to use a decision tree.mp4 10.4 MB
1. Introduction/4. Using the exercise files.mp4 5.5 MB
5. Conclusion/1. Next steps with decision trees.mp4 4.5 MB
1. Introduction/3. The tools you need.mp4 3.5 MB
1. Introduction/1. Making decisions with Python.mp4 3.4 MB
1. Introduction/2. What you should know.mp4 3.1 MB
Exercise Files/03/03e.ipynb 11.5 kB
Exercise Files/03/03b.ipynb 11.0 kB
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3. Segmenting Data with K-Means Clustering/1. How to segment data with k-means clustering in Python.mp4 31.2 MB
2. Understanding K-Means Clustering/3. Choosing the right number of clusters.mp4 26.6 MB
3. Segmenting Data with K-Means Clustering/4. How to interpret the results of k-means clustering in Python.mp4 18.9 MB
3. Segmenting Data with K-Means Clustering/3. How to find the right number of clusters in Python.mp4 18.3 MB
2. Understanding K-Means Clustering/1. What is clustering.mp4 16.9 MB
3. Segmenting Data with K-Means Clustering/2. How to evaluate and visualize clusters in Python.mp4 14.2 MB
2. Understanding K-Means Clustering/2. What is k-means clustering.mp4 11.0 MB
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4. Conclusion/1. Next steps.mp4 4.7 MB
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1. Introduction/2. What you should know_1.mp4 3.3 MB
1. Introduction/3. The tools you need.mp4 3.2 MB
Exercise Files/02/02e.ipynb 15.6 kB
Exercise Files/02/02b.ipynb 15.2 kB
2. Understanding K-Means Clustering/3. Choosing the right number of clusters.srt 11.9 kB
3. Segmenting Data with K-Means Clustering/1. How to segment data with k-means clustering in Python.srt 11.4 kB
3. Segmenting Data with K-Means Clustering/4. How to interpret the results of k-means clustering in Python.srt 7.7 kB
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4. Classifying Data with Logistic Regression/1. How to explore data for logistic regression in Python.mp4 39.8 MB
4. Classifying Data with Logistic Regression/4. How to interpret a logistic regression model in Python.mp4 29.9 MB
1. Introduction/4. Using GitHub Codespaces with this course.mp4 22.8 MB
4. Classifying Data with Logistic Regression/2. How to prepare data for logistic regression in Python.mp4 22.0 MB
4. Classifying Data with Logistic Regression/3. How to build a logistic regression model in Python.mp4 18.7 MB
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1. Introduction/2. What you should know.mp4 2.9 MB
4. Classifying Data with Logistic Regression/1. How to explore data for logistic regression in Python.srt 17.5 kB
4. Classifying Data with Logistic Regression/4. How to interpret a logistic regression model in Python.srt 11.8 kB
3. Logistic Regression/3. Interpreting the coefficients of logistic regression.srt 10.0 kB
1. Introduction/4. Using GitHub Codespaces with this course.srt 9.1 kB

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