Week 11: NLP: NLTK, spaCy & Transformers
Tokenization, stemming, NER, POS tagging, text classification, Hugging Face
📌 Strategy & Study Guidance
Focus on hands-on coding. Allocate 2 blocks daily: concept review + practice.
Blocks
Block 101
Monday
Text Preprocessing & Tokenization
Block 102 MondayStemming & Lemmatization
Block 103 TuesdayBag-of-Words & TF-IDF
Block 104 TuesdayText Classification with scikit-learn
Block 105 WednesdayspaCy: Pipelines & POS Tagging
Block 106 WednesdayspaCy: Named Entity Recognition
Block 107 ThursdayWord Embeddings: Word2Vec & GloVe Concepts
Block 108 ThursdayHugging Face Transformers: Intro
Block 109 FridayFine-tuning Concepts & Zero-Shot Classification
Block 110 FridayMini-Project: Sentiment Analysis Tool
📺 20 Curated YouTube Videos
▶ NLP with spaCy
freeCodeCamp
▶ spaCy Python Course
freeCodeCamp
▶ NLP Beginners
freeCodeCamp
▶ spaCy NER
freeCodeCamp
▶ Tokenization
freeCodeCamp
▶ spaCy Pipelines
freeCodeCamp
▶ Entity Recognition
freeCodeCamp
▶ Word Vectors
freeCodeCamp
▶ EntityRuler Matcher
freeCodeCamp
▶ POS Tagging
freeCodeCamp
▶ Custom Components
freeCodeCamp
▶ spaCy RegEx
freeCodeCamp
▶ Text Classification
freeCodeCamp
▶ Linguistic Annotations
freeCodeCamp
▶ spaCy Containers
freeCodeCamp
▶ Hugging Face
freeCodeCamp
▶ Transformers NLP
freeCodeCamp
▶ NLP Complete
freeCodeCamp
▶ Financial NER
freeCodeCamp
▶ spaCy Tutorial
freeCodeCamp
📋 Cheat Sheets
Quick Reference
Core syntax and common patterns for this week. Week 11 - Tokenization, stemming, NER, POS tagging, text classification, Hugging Face
API Cheat Sheet
Key functions and methods. Week 11 - Tokenization, stemming, NER, POS tagging, text classification, Hugging Face
Best Practices
Style and performance tips. Week 11 - Tokenization, stemming, NER, POS tagging, text classification, Hugging Face
💻 Code Snippets
Basic Example
# Week 11: NLP: NLTK, spaCy & Transformers
# Basic pattern for this topic
result = process(data)
Common Pattern
# Week 11: NLP: NLTK, spaCy & Transformers
# Frequently used pattern
Quick Start
# Week 11: NLP: NLTK, spaCy & Transformers
# Minimal working example
📊 Visualizations & Diagrams
Concept Diagram
flowchart LR A[Input] --> B[Process] B --> C[Output]
Paste into mermaid.live to render
Workflow
Step 1 -> Step 2 -> Step 3