**Naive Bayes: A Baseline Model for Machine Learning Classification Performance** - May 7, 2019.

We can use Pandas to conduct Bayes Theorem and Scikitlearn to implement the Naive Bayes Algorithm. We take a step by step approach to understand Bayes and implementing the different options in Scikitlearn.

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Tags: Algorithms, Data Science, Machine Learning, Naive Bayes, Python, scikit-learn, Statistics

**Naive Bayes from Scratch using Python only – No Fancy Frameworks** - Oct 25, 2018.

We provide a complete step by step pythonic implementation of naive bayes, and by keeping in mind the mathematical & probabilistic difficulties we usually face when trying to dive deep in to the algorithmic insights of ML algorithms, this post should be ideal for beginners.

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Tags: Machine Learning, Naive Bayes, Python

**Unfolding Naive Bayes From Scratch** - Sep 25, 2018.

Whether you are a beginner in Machine Learning or you have been trying hard to understand the Super Natural Machine Learning Algorithms and you still feel that the dots do not connect somehow, this post is definitely for you!

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Tags: Bayesian, Classification, Naive Bayes, Probability, Statistics

**Top 10 Machine Learning Algorithms for Beginners** - Oct 20, 2017.

A beginner's introduction to the Top 10 Machine Learning (ML) algorithms, complete with figures and examples for easy understanding.

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Tags: Adaboost, Algorithms, Apriori, Bagging, Beginners, Boosting, Decision Trees, Ensemble Methods, Explained, K-means, K-nearest neighbors, Linear Regression, Logistic Regression, Machine Learning, Naive Bayes, PCA, Top 10

**Machine Learning Finds “Fake News” with 88% Accuracy** - Apr 12, 2017.

In this post, the author assembles a dataset of fake and real news and employs a Naive Bayes classifier in order to create a model to classify an article as fake or real based on its words and phrases.

Tags: Data Science, Fake News, Machine Learning, Naive Bayes, Politics, Text Analytics

**Top 10 Data Mining Algorithms, Explained** - May 21, 2015.

Top 10 data mining algorithms, selected by top researchers, are explained here, including what do they do, the intuition behind the algorithm, available implementations of the algorithms, why use them, and interesting applications.

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Tags: Algorithms, Apriori, Bayesian, Boosting, C4.5, CART, Data Mining, Explained, K-means, K-nearest neighbors, Naive Bayes, Page Rank, Support Vector Machines, Top 10

**Top KDnuggets tweets, Oct 14-15: Tutorial: The Naive Bayes Text Classifier; Quantum Computers and Machine Learning** - Nov 28, 2013.

Tutorial: The Naive Bayes Text Classifier; How Quantum Computers and Machine Learning Will Revolutionize #BigData; See how easy it is to find patterns in random data; Applied Data Science - free, self-guided online course

Tags: Naive Bayes