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1.1 Course Resources.html 122
39. Download the Complete Notebook Here.html 242
23. A Note for the Next Lesson.html 476
40. Any Feedback on this Section.html 519
37. Coding Challenge Solution Preparing the Test Data.srt 4.5K
3. How to Add the Lesson Resources to the Project.srt 5.0K
5. Basic Probability.srt 5.3K
29. Solving the Hamlet Challenge.srt 6.0K
10. Extracting the Text in the Email Body.srt 6.0K
4. The Naive Bayes Algorithm and the Decision Boundary for a Classifier.srt 6.1K
32. Coding Challenge Check for Membership in a Collection.srt 6.1K
15. Saving a JSON File with Pandas.srt 6.9K
12. Create a Pandas DataFrame of Email Bodies.srt 7.2K
33. Coding Challenge Find the Longest Email.srt 7.5K
18. Introduction to Natural Language Processing (NLP).srt 8.2K
22. Creating a Function for Text Processing.srt 8.4K
14. Cleaning Data (Part 2) Working with a DataFrame Index.srt 9.2K
17. Data Visualisation (Part 2) Donut Charts.srt 9.6K
1. How to Translate a Business Problem into a Machine Learning Problem.srt 9.7K
20. Word Stemming & Removing Punctuation.srt 11K
21. Removing HTML tags with BeautifulSoup.srt 11K
8. Reading Files (Part 1) Absolute Paths and Relative Paths.srt 12K
26. Word Clouds & How to install Additional Python Packages.srt 12K
36. Sparse Matrix (Part 3) Using groupby() and Saving .txt Files.srt 12K
24. Advanced Subsetting on DataFrames the apply() Function.srt 14K
38. Checkpoint Understanding the Data.srt 14K
27. Creating your First Word Cloud.srt 14K
2. Gathering Email Data and Working with Archives & Text Editors.srt 14K
9. Reading Files (Part 2) Stream Objects and Email Structure.srt 15K
30. Styling Word Clouds with Custom Fonts.srt 15K
7. Bayes Theorem.srt 15K
34. Sparse Matrix (Part 1) Split the Training and Testing Data.srt 15K
25. [Python] - Logical Operators to Create Subsets and Indices.srt 15K
16. Data Visualisation (Part 1) Pie Charts.srt 16K
28. Styling the Word Cloud with a Mask.srt 17K
31. Create the Vocabulary for the Spam Classifier.srt 18K
13. Cleaning Data (Part 1) Check for Empty Emails & Null Entries.srt 18K
19. Tokenizing, Removing Stop Words and the Python Set Data Structure.srt 19K
6. Joint & Conditional Probability.srt 20K
11. [Python] - Generator Functions & the yield Keyword.srt 22K
35. Sparse Matrix (Part 2) Data Munging with Nested Loops.srt 22K
![[Fichero comrpimido]](/icons/system-file-manager.png)
39.1 06 Bayes Classifier - Pre-Processing.ipynb.zip 1.0M
2.1 SpamData.zip 21M
![[VID]](/icons/movie.gif)
5. Basic Probability.mp4 29M
3. How to Add the Lesson Resources to the Project.mp4 29M
37. Coding Challenge Solution Preparing the Test Data.mp4 29M
32. Coding Challenge Check for Membership in a Collection.mp4 32M
4. The Naive Bayes Algorithm and the Decision Boundary for a Classifier.mp4 33M
1. How to Translate a Business Problem into a Machine Learning Problem.mp4 42M
10. Extracting the Text in the Email Body.mp4 47M
12. Create a Pandas DataFrame of Email Bodies.mp4 49M
18. Introduction to Natural Language Processing (NLP).mp4 51M
22. Creating a Function for Text Processing.mp4 54M
33. Coding Challenge Find the Longest Email.mp4 54M
15. Saving a JSON File with Pandas.mp4 56M
29. Solving the Hamlet Challenge.mp4 57M
8. Reading Files (Part 1) Absolute Paths and Relative Paths.mp4 61M
17. Data Visualisation (Part 2) Donut Charts.mp4 62M
14. Cleaning Data (Part 2) Working with a DataFrame Index.mp4 62M
20. Word Stemming & Removing Punctuation.mp4 71M
26. Word Clouds & How to install Additional Python Packages.mp4 79M
36. Sparse Matrix (Part 3) Using groupby() and Saving .txt Files.mp4 80M
24. Advanced Subsetting on DataFrames the apply() Function.mp4 83M
7. Bayes Theorem.mp4 84M
25. [Python] - Logical Operators to Create Subsets and Indices.mp4 86M
34. Sparse Matrix (Part 1) Split the Training and Testing Data.mp4 88M
16. Data Visualisation (Part 1) Pie Charts.mp4 91M
21. Removing HTML tags with BeautifulSoup.mp4 96M
38. Checkpoint Understanding the Data.mp4 96M
27. Creating your First Word Cloud.mp4 98M
9. Reading Files (Part 2) Stream Objects and Email Structure.mp4 104M
31. Create the Vocabulary for the Spam Classifier.mp4 107M
2. Gathering Email Data and Working with Archives & Text Editors.mp4 112M
19. Tokenizing, Removing Stop Words and the Python Set Data Structure.mp4 118M
13. Cleaning Data (Part 1) Check for Empty Emails & Null Entries.mp4 122M
30. Styling Word Clouds with Custom Fonts.mp4 127M
28. Styling the Word Cloud with a Mask.mp4 131M
11. [Python] - Generator Functions & the yield Keyword.mp4 133M
35. Sparse Matrix (Part 2) Data Munging with Nested Loops.mp4 137M
6. Joint & Conditional Probability.mp4 142M