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Artificial Intelligence with Python – Sequence Learning
Natural Language Processing
The Course Overview
Introduction and Installation of Packages
Tokenizing Text Data
Converting Words to Their Base Forms
Dividing Text Data into Chunks
Extracting the Frequency of Terms Using a Bag of Words Model
Building a Category Predictor
Constructing a Gender Identifier
Building a Sentiment Analyzer
Topic Modeling Using Latent Dirichlet Allocation
Probabilistic Reasoning for Sequential Data
Understanding Sequential Data
Handling Time-Series Data with Pandas
Slicing Time-Series Data
Operating on Time-Series Data
Extracting Statistics from Time-Series Data
Generating Data Using Hidden Markov Models
Identifying Alphabet Sequences with Conditional Random Fields
Stock Market Analysis
Building a Speech Recognizer
Working with Speech Signals
Visualizing Audio Signals
Transforming Audio Signals to the Frequency Domain
Generating Audio Signals
Synthesizing Tones to Generate Music
Extracting Speech Features
Recognizing Spoken Words
Recognizing Spoken Words
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