In this project, I work with classification models like Logistic Regression Classifier, Ramdon Forest classifier, Desion tree classifier, SVG and KNN to help the organization in improving the churn rate and come up with strategies to improve the working experience of its employees.
The objective of this analysis is to uncover underlying patterns and behavior in the customer base, and to group customers accordingly. In doing so, the marketing team can have a more targeted approach to reach consumers, and the mall can make more informed strategic decisions to increase profits
A Movie recommendation engine using TFIDF algorithm to improve quality of recommendation
In this guided project, i used machine learning to predict credit card approvals
Analyzing customer Sentiment
Visualizing Data with Tableau
Conversational chatbox