--- git_repo folder of logistic regression and Naive Bayes Classifier Model and their Case Studies. ---
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Telecom Churn Case Study With 21 predictor variables we need to predict whether a particular customer will switch to another telecom provider or not. In telecom terminology, this is referred to as churning and not churning, respectively (https://colab.research.google.com/drive/19yBpktOuxPjX-iQUuThIu0v3O1xaPZYT#)
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sentiment analysis - NLP Sentiment analysis using NLP is used to predict the outcome i.e. sentiment included based on negative and positive words used by users in comments and based on that we are able to distinguish positive comment and Negative comments Denoting 1: positive reaction from commenter and 0: negative review. (incase of accessing difficulties click : https://colab.research.google.com/github/sachincs3108/Hands-on_project/blob/master/sentimentanalysis.ipynb#scrollTo=ltpQCyTYdT8C )