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In this repo you can find Logistic regression model, Laplacian smoothing, log likelihood, Naive Bayes model for tweets classification, Autocorrect models, Hidden Markov models for speech recognition, Auto-complete model using N-grams and perplexity score, Skip-gram model using word embeddings, Sentiment classification with Deep Neural Networks (…

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NLP SPECIALIZATION.pdf
NLP SPECIALIZATION.pdf
 
 
README.md
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NLP_COURSERA_SPECIALIZATION:

Natural Language Processing with Classification and Vector Spaces, Autoccorect Models, Hidden Markov Models, Skip-gram model using word embeddings, Sentiment classification with Deep Neural Networks

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In this repo you can find Logistic regression model, Laplacian smoothing, log likelihood, Naive Bayes model for tweets classification, Autocorrect models, Hidden Markov models for speech recognition, Auto-complete model using N-grams and perplexity score, Skip-gram model using word embeddings, Sentiment classification with Deep Neural Networks (…

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nlp markov-model deep-neural-networks machinelearning deeplearning

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