Natural Language Processing (NLP)

Natural Language Processing Basics of NLP, OCR and Application of NLP and Text domain. NLTK and Spacy Library Introduction. Use logistic regression, naïve Bayes, and word vectors to implement sentiment analysis, complete analogies, and translate words, and use locality sensitive hashing for approximate nearest neighbors. Use dynamic programming, hidden Markov models, and word embedding to…

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Statistics for Data Science | Probability and Statistics | Statistics Tutorial

Statistics for Data Science | Probability and Statistics | Statistics Tutorial | Ph.D. (Stanford) Great Learning offers a range of extensive Data Science courses that enable candidates for diverse work professions in Data Science and other trending domain… This “Statistics for Data Science” Full course by Great Learning would help you to comprehensively learn all…

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