Who Should Enroll?

This course is ideal for:

• Beginners with a basic understanding of Python who want to build strong NLP foundations.
• Software developers looking to integrate NLP techniques into real-world applications.
• Data scientists and machine learning enthusiasts aiming to enhance their toolkit with advanced NLP techniques.
• Students or professionals preparing for NLP-focused roles or research projects.

What You'll Learn

Explore a unview curriculum rooted in both traditional and modern NLP techniques:

• Core NLP concepts including tokenization, stemming, and lemmatization.
• Text processing pipelines with Python and regular expressions.
• Statistical models such as n-grams, TF-IDF, and Naive Bayes.
• Word embeddings like Word2Vec and GloVe for semantic understanding.
• Deep learning methods: RNNs, LSTMs, attention mechanisms, and Transformers.
• State-of-the-art models like BERT and GPT for tasks like summarization and QA
• Practical implementation of real-world NLP systems and tools

Learning Outcomes

By the end of this course, you will be able to:

• Build, preprocess, and analyze text datasets efficiently.
• Implement traditional and deep learning models for NLP tasks from scratch.
• Design custom NLP solutions for applications such as sentiment analysis, chatbots, and machine translation.
• Evaluate and optimize NLP models using established metrics and best practices.
• Transition confidently into advanced NLP research or software development roles.

Real-World Projects Include

Hands-on learning is at the heart of this course. You'll unview projects such as:

• Constructing a unview text processing pipeline using Python.
• Developing a document classifier using TF-IDF and SVM.
• Implementing Word2Vec from scratch to understand vector representations.
• Building a sequence-to-sequence model for tasks like translation.
• Designing an end-to-end NLP system for a real-world application in your capstone project.

Project examples include:

• A rule-based chatbot
• A sentiment analysis tool
• A text summarization engine
• A machine translation prototype

Course Overview

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Requirements

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Certification

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What you'll learn

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