Loan Prediction Practice Problem (Using Python)

LP101
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Loan Prediction Practice Problem (Using Python)

About this Course

This course is designed for people who want to solve binary classification problems. Classification is a skill every Data Scientist should be well versed in.
In this course, we are solving a real life case study of Dream Housing Finance. The company deals in all home loans. They have a presence across all urban, semi-urban and rural areas. Customers first apply for a home loan after that company validates the customer's eligibility. The company wants to automate the loan eligibility process (real-time) based on customer detail provided while filling online application form.
By the end of the course, you will have a solid understanding of Classification problem and Various approaches to solve the probem

Pre-requisites

This course assumes that you have familiarity with Python.

Frequently Asked Questions

This course is meant for people looking to explore Classification Problems in Python.

You should have Python and Jupyter Notebook installed on your system.

The course is free of charge.

We would highly recommend taking the course in the order in which it has been designed to gain the maximum knowledge from it.

This is a free course and therefore there is no certificate involved.

The course is free of charge.

This is an introductory course and this does not include any placement support. Once you have worked on a few data science projects and hackathons, you can always apply to jobs on Analytics Vidhya portal.

Free

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Support

For people undergoing the course, you can call us any time between 9AM - 5PM on Weekdays Monday - Friday on +91-8368253068 or email us on training_queries@analyticsvidhya.com

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