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
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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
- AI&ML Blackbelt Plus Program (Sponsored)
FAQs
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Who should take this course?
This course is meant for people looking to explore Classification Problems in Python.
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Do I need to install any software before starting the course?
You should have Python and Jupyter Notebook installed on your system.
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What is the refund policy?
The course is free of charge.
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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.
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Do I get certificate upon completion of the course?
This is a free course and therefore there is no certificate involved.
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What is the fee for this course?
The course is free of charge.
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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.