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

Here's what our students have to say about our Loan Prediction Practice Problem (Using Python) course

  • Excellent Narrative

    Guruprasad Ramakrishnappa

    The course is organized very neatly and can be used by both beginners and advanced users. By giving links at different slides, the author of this training ha...

    Read More

    The course is organized very neatly and can be used by both beginners and advanced users. By giving links at different slides, the author of this training has done a great work to get the beginners to the next level.

    Read Less
  • Awesome!

    Josée Jochel

    very good

    very good

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  • Loan Prediction code and explanation

    Aman.Mashetty Aman.Mashetty

    Overall it's a good explanation and easy to understand python code I'm loving it thanks for uploading this course

    Overall it's a good explanation and easy to understand python code I'm loving it thanks for uploading this course

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  • NICE

    TATHAGAT BANERJEE

    INFORMATIVE

    INFORMATIVE

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  • Simple and Smart

    Feroz K

    Very nicely design content.

    Very nicely design content.

    Read Less
  • Amazing Tutorial for a beginner in Data Science

    Shahbaaz Khan

    The course is well designed to help beginners come across concepts as well as practice.

    The course is well designed to help beginners come across concepts as well as practice.

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  • Very helpful

    Ojosipe Ayo

    Rich content

    Rich content

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  • Very good article

    Anuforo Okechukwu

    This article was/is really helpful... Thanks for sharing your knowledge.

    This article was/is really helpful... Thanks for sharing your knowledge.

    Read Less
  • Good project

    Adaugo Okafor

    A good way to practice and learn

    A good way to practice and learn

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  • Great lesson

    Joe Ahmed

    I really enjoyed my learning "Loan Prediction Practice Problem using Python. It has really motivated me a lot. the leaning materials were great.

    I really enjoyed my learning "Loan Prediction Practice Problem using Python. It has really motivated me a lot. the leaning materials were great.

    Read Less
  • Informative course

    georgios zefko

    It was a very interesting course for someone who is beginner in data science. It gives a very comprehensive overview on how to approach classification problems.

    Read More

    It was a very interesting course for someone who is beginner in data science. It gives a very comprehensive overview on how to approach classification problems.

    Read Less
  • Quiet good articles and course

    Nanyam Shukla

    A bit more detailed explanation about models could have been provided for better understanding instead of just giving links for other articles

    A bit more detailed explanation about models could have been provided for better understanding instead of just giving links for other articles

    Read Less

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 for Loan Prediction Practice Problem (Using Python)

Support for Loan Prediction Practice Problem (Using Python) course can be availed through any of the following channels: