Machine Learning Techniques for Text: Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluation
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Case study-based chapters provide practical insights and real-world problem-solving experience
Includes Jupyter notebooks for hands-on code implementation and experimentation
Covers text preprocessing, representation, dimensionality reduction, and model evaluation
Balances theoretical concepts with actionable Python code for effective learning
Solution-oriented content helps readers understand and apply techniques step-by-step
Summarized by Shop
Take your Python text processing skills to another level by learning about the latest natural language processing and machine learning techniques with this full color guideKey Features
Learn how to acquire and process textual data and visualize the key findings
Obtain deeper insight into the most commonly used algorithms and techniques an