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1. Fundamentals-of-AI-ML Fundamentals-of-AI-ML Public

   The GroupLens Research Project is a research group in the Department of Computer Science and Engineering at the University of Minnesota. The data is widely used for collaborative filtering and othe…

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2. Supervized-Learning-Personal-Bank-Loan-Modelling Supervized-Learning-Personal-Bank-Loan-Modelling Public

   This case is about a bank (Thera Bank) whose management wants to explore ways of converting its liability customers to personal loan customers (while retaining them as depositors). A campaign that …

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3. Feature-Selection-Model-Selection-and-Tuning Feature-Selection-Model-Selection-and-Tuning Public

   To predict the concrete strength using the data available in file "concrete.csv". Apply feature engineering and model tuning to obtain 85% to 95% accuracy.

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4. Unsupervized-Learning-Credit-Card-Customer-Segmentation Unsupervized-Learning-Credit-Card-Customer-Segmentation Public

   AllLife Bank wants to focus on its credit card customer base in the next financial year. They have been advised by their marketing research team, that the penetration in the market can be improved.…

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5. Neural-Networks-Bank-Churn-Prediction Neural-Networks-Bank-Churn-Prediction Public

   Businesses like banks that provide service have to worry about the problem of 'Churn' i.e. customers leaving and joining another service provider. It is important to understand which aspects of the…

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6. Ensemble-Techniques-Term-Deposit-Subscription-Prediction Ensemble-Techniques-Term-Deposit-Subscription-Prediction Public

   Using the data collected from existing customers, build a model that will help the marketing team identify potential customers who are relatively more likely to subscribe term deposit and thus incr…

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