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Customize OpenAI machine learning with Python web scraping data
00 (Prerequisite) Introduction to HTML
01. Course Requirements (2:56)
02. What Is JSbin (3:15)
03. Setting Up The HTML Document (2:41)
04. Header Tags And Paragraphs Tags (4:06)
05. Styles (3:32)
06. Bold Underline And Italic Tags (3:10)
07. Adding In A Link (1:38)
08. Adding In A Image (3:01)
09. Adding A Link To An Image (1:55)
10. Lists (4:03)
11. Tables (3:29)
12. Different Kinds Of Input (4:59)
13. Adding In A Submit Button (3:01)
14. Scripts And Style Tags (3:27)
06 Scrape web data in text form with Python
06-01 Build Html Parser With Python (4:31)
06-02 Scrape Hyperlinks From Url Webpage With Python (4:09)
06-03 Filter Out Urls Not Part Of Domain (7:03)
06-04 Save Web Content To Files With Python (10:07)
Source files
07 Process web data for OpenAI machine learning
07-01 Convert Text To Csv With Python (6:36)
07-02 Remove Whitespace And Lines From Text With Python (4:58)
07-03 Tokenize Text With Python For Machine Learning Models (2:50)
07-04 Split Long Lines With Python (4:11)
07-05 Split Pandas Dataframe Into Sections With Python (7:19)
07-06 Embed Text For Machine Learning With Openai Api (8:05)
08 Customize OpenAI model to learn from your data
08-01 Embed Question With Python (5:48)
08-02 Answer Questions About Your Data With Customized Openai Model (10:36)
07-03 Tokenize Text With Python For Machine Learning Models
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