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Agenda for the Masterclass:

Day 1 : Introduction to NLP, and Machine Learning
Day 2 : Regex
Day 3 : Pandas for NLP
Day 4 : Text preprocessing -1 : Tokenization, Stemming, Lemmatization, Stop words
Day 5 : Text preprocessing -2: Bag of Words, TFIDF, Ngrams
Day 6 : Sentiment Classification on Amazon Reviews using Machine Learning
Day 7 : Introduction to Deep learning, Tensorflow basics
Day 8 : Advanced preprocessing – word2vec, average word2vec.
Day 9 : Advanced preprocessing implementation
Day 10 : RNN , LSTM architecture walkthrough
Day 11 : Next word Prediction using LSTM
Day 12 : Generating Poetic text using LSTM
Day 13 : Fake News Classifier using Bidirectional LSTM
Day 14 : Seq2Seq Models
Day 15 : Text Summarization using LSTM encoder-decoder architecture
Day 16 : LLM introduction, Transformer Architecture
Day 17 : Hugging Face, Fine tuning a pretrained model on custom dataset
Day 18 : LangChain, Chat with Books and PDF Files with Llama 2 and Pinecone
Day 19 : Blog Generation LLM app using Llama 2
Day 20: SQL Query LLM using Google Gemini
Day 21 : Youtube Video Transcribe Summarizer LLM App With Google Gemini

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