Natural Language Processing - Machine Learning Models in Python
Mastering Text Analytics: From Spam Detection to Topic Modeling
Created by Lazy Programmer
Explore the world of text analytics by building practical skills in spam detection, sentiment analysis, and topic modeling. Strengthen your Python abilities while working hands-on with real-world data and proven machine learning techniques. Gain the confidence to tackle complex NLP projects from start to finish.
Packt | Jun 2024 | 311 min
What You Will Learn
You will start by setting up your Python environment and reviewing essential concepts. As you progress, you'll work through practical coding exercises that guide you through building and evaluating models for tasks like spam detection and topic modeling. Each concept is reinforced with hands-on projects and clear explanations, helping you connect theory to practice.
Key Features
- Build spam detection and sentiment analysis models using Python and machine learning
- Apply topic modeling and text summarization techniques to real-world text data
- Evaluate and improve NLP models with key metrics like ROC, AUC, and F1 scores
Target Audience
Designed for data scientists, machine learning engineers, and software developers who already know the basics of Python and machine learning. If you want to expand your skills into natural language processing and apply advanced text analytics techniques in your work, this course will help you reach your goals.
