NLP
Course Index
60 Lessons · 4 Levels
Complete NLP roadmap β text processing, vectorization, classic NLP models, RNNs, attention, transformers, BERT, GPT, embeddings, RAG, and modern LLM techniques.
60Lessons
4Levels
3Projects
FreeAccess
Level I
NLP Foundations
Lessons 1β15
Lesson 01
Intro to NLP
Lesson 02
NLP vs ML vs DL
Lesson 03
Text Processing
Lesson 04
Tokenization
Lesson 05
Regex
Lesson 06
Stopwords
Lesson 07
Stemming
Lesson 08
Lemmatization
Lesson 09
Bag of Words
Lesson 10
TFβIDF
Lesson 11
N-grams
Lesson 12
Cleaning
Lesson 13
POS Tagging
Lesson 14
NER Basics
Lesson 15
SpaCy Intro
Level II
Vectorization & Classic NLP Models
Lessons 16β30
Lesson 16
One-Hot Encoding
Lesson 17
Word Embeddings
Lesson 18
Word2Vec
Lesson 19
GloVe
Lesson 20
FastText
Lesson 21
Text Classification
Lesson 22
Naive Bayes
Lesson 23
Logistic Regression
Lesson 24
SVM for Text
Lesson 25
Sentiment Analysis
Lesson 26
Topic Modeling
Lesson 27
LDA
Lesson 28
Text Similarity
Lesson 29
Cosine Similarity
Lesson 30
Document Clustering
Level III
Deep Learning for NLP
Lessons 31β45
Lesson 31
RNNs Intro
Lesson 32
RNNs for NLP
Lesson 33
LSTMs for NLP
Lesson 34
GRUs for NLP
Lesson 35
Bidirectional RNNs
Lesson 36
Seq2Seq
Lesson 37
EncoderβDecoder
Lesson 38
Attention
Lesson 39
Bahdanau Attention
Lesson 40
Luong Attention
Lesson 41
Machine Translation
Lesson 42
Summarization
Lesson 43
QA Basics
Lesson 44
NER (DL Models)
Lesson 45
Build NLP Model
Level IV
Transformers, BERT, GPT & Modern NLP
Lessons 46β60
Lesson 46
Transformers Intro
Lesson 47
Self-Attention
Lesson 48
Positional Encoding
Lesson 49
Transformer Architecture
Lesson 50
BERT Overview
Lesson 51
BERT Tokenization
Lesson 52
Fine-Tune BERT
Lesson 53
Sentence Embeddings
Lesson 54
GPT Overview
Lesson 55
Prompting Basics
Lesson 56
Zero/Few Shot
Lesson 57
LLMs
Lesson 58
Chatbots
Lesson 59
RAG
Lesson 60
Applications