Text Mining with Machine Learning and Python
Transform text data into actionable insights
Created by Thomas Dehaene
Unlock the power of text data by learning how to turn raw text into valuable insights using Python and machine learning. Explore practical tools and techniques that help you analyze, classify, and extract meaning from text, setting a solid foundation for advanced natural language processing work.
Packt | Apr 2018 | 146 min
What You Will Learn
You will work through hands-on exercises using Jupyter notebooks and popular Python libraries like NLTK, Spacy, Gensim, and Scikit-learn. Each step guides you from basic text processing to building and evaluating models, ensuring you gain practical experience with real data and modern tools.
Key Features
- Clean and preprocess raw text for reliable analysis and modeling
- Build and evaluate machine learning models for text classification tasks
- Extract features and visualize word embeddings to uncover hidden patterns
Target Audience
Ideal for data scientists and analysts with a working knowledge of Python and machine learning who want to expand into text mining. If you are ready to move beyond basic data analysis and start extracting insights from unstructured text, this course will help you build those essential skills.
