4.1 Applied Python
Expand your Python skills by leveraging (or using) strings and dictionaries to analyze and generate text.
Turning Text into Data
Using Dictionaries
Counting Unique Words
Bigrams and Mutability
Bigram Frequency and Tuples
Bigram Analysis
Building a Language Model
Course description
Use Python to analyze the text of a book and generate new text based on your analysis. Explore the power of strings, dictionaries, and tuples along the way. You’ll also get the the chance to test the skills you’ve built by working with unstructured text in a variety of problems and use cases.
Topics covered
- Text analysis
- Text generation
- Linguistic probabilities
- Cleaning data
- Strings
- Dictionaries
- Tuples
Prerequisites and next steps
Familiarity with basic Python syntax and functions such as for loops, conditionals, and booleans is necessary. Knowledge of data types such as lists and integers is helpful.
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5.1 Introduction to Neural Networks
Delve into the inner machinery of neural networks to discover how these flexible learning tools actually work.
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