Implementing Various Supervised Machine Learning Algorithms and implementing it in a website using web development: * Data Preprocessing like removing and filling null values( mode for categorical and mean for continouos values in the dataset) * The algorithms implemented here are Naive Bayes( GaussianNB, BernoulliNB, MultinomialNB), Support Vector Classifiers (with GridSearchCV) , DecisionTree Classifier, Random Forestr Classifier. * Based on the best accuracy obtained, BernoulliNB is implemented. * The website developed by keeping BernoulliNB as base model with the help of pickle files for dumping using'joblib'library. * Used HTML, CSS and Javascript , a website is developed
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