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Ready to make a down payment on your first house? Or looking to leverage the equity in the home you have? To support needs for a range of financial decisions, Santander Bank offers a lending hand to their customers through personalized product recommendations
Under their current system, a small number of Santander’s customers receive many recommendations while many others rarely see any resulting in an uneven customer experience. In this machine learning project in Python, Santander is challenging to predict which products their existing customers will use in the next month based on their past behavior and that of similar customers.
With a more effective recommendation system in place, Santander can better meet the individual needs of all customers and ensure their satisfaction no matter where they are in life.
This data science in python project predicts if a loan should be given to an applicant or not. We predict if the customer is eligible for loan based on several factors like credit score and past history.
Using this Kaggle dataset, you will explore which type of employees make less or more money, or which employees get normal pay hikes and promotions.
In this machine learning project, we will build a predictive model to find out the sales of each product at a particular store.