Data Science Full Course For Beginners | Python Data Science Tutorial | Data Science With Python This is part 1 of naive bayes classifier algorithm machine learning tutorial. Naive bayes theorm uses bayes theorm for conditional probability with a naive assumption that the features are not correlated to each other and tries to find conditional probability of target variable given the probabilities of features. We will use titanic survival dataset here and using naive bayes classifier find out the survival probability of titanic travellers. We use sklearn library and python for this beginners machine learning tutorial. GaussianNB is the classifier we use to train our model. There are other classifiers such as MultinomialNB but we will use that in part 2 of the tutorial. #MachineLearning #PythonMachineLearning #MachineLearningTutorial #Python #PythonTutorial #PythonTraining #MachineLearningCource #NaiveBayes #sklearntutorials #scikitlearntutorials