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CodeSignal
Build a practical foundation in natural language processing using Python. Learn to explore, preprocess, vectorize, and classify text data with common machine learning techniques.
CodeSignal
Build advanced text classification skills for natural language processing, from collecting and preparing text data to training and optimizing models. Work with feature engineering, classical machine learning, ensemble methods, and deep learning approaches.
Coursera
In this hands-on project, we will train a Naive Bayes classifier to predict sentiment from thousands of Twitter tweets. This project could be practically used by any company with social media presence to automatically predict customer's sentiment (i.e.: whether their customers are happy or not). Th…
Coursera
In this 1-hour long project-based course, we will predict titanic survivors’ using logistic regression and naïve bayes classifiers. The sinking of the Titanic is one of the key sad tragedies in history and it took place on April 15th, 1912. The numbers of survivors were low due to lack of lifeboats…
Coursera
In this project, we will build a Naïve Bayes Classifier to predict whether a given resume text is flagged or not. Our training data consist of 125 resumes with 33 flagged resumes and 92 non flagged resumes. This project could be practically used to screen resumes in companies.
