About the 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.

Course curriculum

  • 1
    Loan Prediction : Practice Problem
    • Introduction to the Course
    • Table of Contents
    • Problem Statement
    • Hypothesis Generation
    • Exercise 2 | Discussion
    • Getting the system ready and loading the data
    • Understanding the Data
    • Univariate Analysis
    • Bivariate Analysis
    • Missing Value and Outlier Treatment
    • Evaluation Metrics for Classification Problems
    • Model Building : Part I
    • Logistic Regression using stratified k-folds cross validation
    • Feature Engineering
    • Model Building : Part II

FAQ

  • Who should take this course?

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

  • Do I need to install any software before starting the course?

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

  • What is the refund policy?

    The course is free of charge.

  • Do I need to take the modules in a specific order?

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

  • Do I get certificate upon completion of the course?

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

  • What is the fee for this course?

    The course is free of charge.

  • Is there any placement support?

    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.

Support