Course Notes

Enhance your learning journey with in-depth course notes that support your understanding of core data science concepts.

Course notes are the perfect complementary educational resource in .pdf for anyone who wishes to go in-depth with fundamental to advanced data science concepts and get a taste of our e-learning style.

Grey Cover of Machine Learning with Naïve Bayes. This course notes resource is from 365 Data Science Team.
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Machine Learning with Naïve Bayes

Naïve Bayes Classifier is a supervised classification machine learning algorithm inspired by the Bayes Theorem. Its ability to make intuitive real time-predictions from small non-linear sets makes it perfect for consumer behavior predictions, recommendation systems and text analysis - news article categorization, email category filtering and sentiment analyses. In the free Machine Learning with Naïve Bayes pdf course notes we are going to build upon your sklearn Naïve Bayes skills by going over the algorithm’s computational capabilities, outlining the 7 steps in creating a supervised machine learning model and identifying 6 relevant metrics to use for performance evaluation.

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