NLP Roadmap

Level 1: Basics

• Python Basics
• OOP in Python
• NumPy - Arrays & Operations
• Pandas - DataFrames & Series
• Matplotlib - Basic Plotting
• Seaborn - Statistical Visualization

Level 2: Text Processing & Feature Engineering

• NLTK - Tokenization, Stemming, Lemmatization
• SpaCy - Efficient NLP Pipelines
• Text Feature Extraction (Bag of Words, TF-IDF)
• Text Vectorization & Embeddings
• Hugging Face Transformers Basics
• EDA for Text Data

Level 3: NLP Models

• Naive Bayes Classifier for Text
• RNN / LSTM for Text
• GRU Models
• Transformer Models (BERT, GPT)
• Text Classification & Sentiment Analysis
• Named Entity Recognition (NER)
• POS Tagging
• Sequence-to-Sequence Models & Transformers

Level 4: Advanced Topics & Applications

• Fine-Tuning Pretrained Models
• Custom NLP Pipelines & Training
• Attention Mechanisms & Transformers
• Sentence Embeddings (SBERT)
• Text Generation & Summarization
• Question Answering Systems
• Machine Translation
• NLP Model Deployment & MLOps

NLP Practice Platforms

• Kaggle NLP Datasets & Tutorials
• Analytics Vidhya NLP Practice
• Coursera NLP Course
• Fast.ai NLP Projects
• DataCamp NLP Track

NLP Study & Learning Resources

• NLTK Book
• SpaCy Official Tutorials
• Hugging Face Transformers Documentation
• TensorFlow Text Tutorials
• PyTorch NLP Tutorials
• Towards Data Science NLP Articles

NLP Interview Preparation

• InterviewBit NLP Questions
• GFG NLP Interview Questions
• LeetCode NLP Discussions
• NLP Case Studies & Projects

NLP Jobs & Careers

• Naukri NLP Jobs
• LinkedIn NLP Jobs
• Indeed NLP Jobs
• Hirist NLP Jobs
• CutShort NLP Opportunities

Top Companies Using NLP

• Google (BERT, Transformer Models)
• Microsoft AI & NLP
• Amazon (Alexa & NLP)
• Meta (AI & NLP Research)
• Apple NLP Roles
• IBM AI & NLP
• Salesforce NLP Applications