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Implementation of Decision Tree Classifier and Clustering models(Kmodes & Kprototypes) for Customer attrition analysis of bank to identify the cause and conditions of the churn.
This model performs feature-extraction on the given dataset on the basis of polarity, wordclouds and by removing non-essential words, next it builds a vectorizer which turns the list of words into …
A recommendation model which finds popular movies according to votes and ratings given to each movie, recommends movies to the user according to the user's previous interactions using K-means Clust…
Under-sampling based consensus clustering is applied on the three best clustering algorithms found after applying several Clustering Algorithms like K-means, K-modes, K-prototypes , K-means++ and f…
In this project, we reduced an imbalanced dataset to a balanced dataset using Under-sampling approach by applying Consensus Clustering using 'Simple Majority Voting' consensus function and further …
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