Description

Complete NLP with Python: From Traditional Machine Learning to Modern LLMs

Recommended Prerequisites:

• It’s highly recommended to complete the Data Prep & EDA with Python course first.

• Jupyter Notebook installed (free download; full setup walkthrough included).

• Basic familiarity with Python and Pandas is helpful but not required.

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Course Overview

Master Natural Language Processing (NLP) in Python with this practical, hands-on course designed to take you from foundational concepts to advanced modern techniques. Learn how to process, analyze, and model text data using both traditional machine learning and cutting-edge deep learning architectures, including Transformers and Large Language Models (LLMs).

You’ll gain the skills to handle real-world NLP tasks such as sentiment analysis, text classification, topic modeling, named entity recognition, text summarization, text generation, and document similarity.

This course is ideal for both aspiring and experienced data scientists looking for a comprehensive, applied approach to NLP in Python.

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What You Will Learn

1. Introduction to NLP

• Explore the history and evolution of NLP over the past 70 years.

• Understand key NLP concepts, popular Python libraries, and practical applications.

• Learn about the most impactful architectures in modern NLP, including Transformers.

2. Text Preprocessing

• Clean, normalize, and prepare text data for modeling using Pandas and spaCy.

• Vectorize text data into Document-Term Matrices using word counts and TF-IDF scores.

• Learn essential preprocessing steps to maximize machine learning performance.

3. Traditional NLP with Machine Learning

• Perform Sentiment Analysis using the VADER library.

• Build Text Classification models with Naïve Bayes on labeled datasets.

• Conduct Topic Modeling on unlabeled data using Non-Negative Matrix Factorization (NMF).

• Apply rules-based, supervised, and unsupervised approaches using scikit-learn.

4. Neural Networks & Deep Learning Foundations

• Understand the building blocks of neural networks: layers, nodes, weights, and activation functions.

• Learn how neural networks are trained and applied to NLP tasks.

• Explore popular deep learning architectures and their applications in text processing.

5. Transformers & Large Language Models (LLMs)

• Dive into the Transformer architecture, including embeddings, attention mechanisms, and feedforward networks.

• Understand encoder-only, decoder-only, and encoder-decoder models.

• Explore major LLMs such as BERT, GPT, Gemini, and Claude.

6. Practical NLP with Hugging Face Transformers

• Hands-on experience using the Hugging Face Transformers library.

• Apply pretrained models for real-world NLP tasks:

  • Sentiment Analysis

  • Named Entity Recognition (NER)

  • Zero-Shot Classification

  • Text Summarization

  • Text Generation

  • Document Similarity

7. NLP Review & Next Steps

• Recap traditional and modern NLP techniques.

• Learn best practices for applying NLP in real-world scenarios.

• Discover resources to continue learning and stay up-to-date with the latest advancements.

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Course Features

• 12.5 hours of high-quality video lectures

• 13 homework assignments and 4 interactive exercises

• Natural Language Processing in Python ebook (200+ pages)

• Downloadable project files and solutions

• Expert support through Q&A forums

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Who This Course is For

• Aspiring data scientists seeking a practical, hands-on introduction to NLP in Python.

• Experienced data scientists looking to learn the latest modern NLP techniques, including Transformers, LLMs, and Hugging Face.

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Why Choose This Course

• Comprehensive coverage of both traditional and modern NLP methods.

• Hands-on Python projects to apply NLP in real-world scenarios.

• Learn directly from an expert in Python and data science, Alice Zhao (Maven Analytics).

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Boost your data science skills and master NLP in Python with a structured, practical, and up-to-date approach. Enroll today and start building your expertise in both classical and cutting-edge NLP!

Please Note: Files will be included in this purchase only Full Course Video & Course Resources. You will get cloud storage download link with life time download access.