Artificial Intelligence & Data Science
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Loan Default Prediction with Machine Learning

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$41

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Course Features

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Duration

8 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Advanced

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Teaching Type

Self Paced

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Video Content

8 hours

Course Description

Andrew will guide you through the Machine Learning process step-by-step.

Machine Learning is a hot topic within the data science and data mining worlds. Machine Learning isn't as complicated as it sounds at a fundamental level. You may be surprised to discover that you have already made steps towards this exciting new world if you have ever done linear regression.

The entire Machine Learning process will be covered in Python. This will reinforce concepts from Python basics. Learn how to create and fine-tune predictive classification models, test them, and how to interpret their results.

It is extremely valuable for pricing and risk management to predict defaults and creditworthiness.

After your model has classified each loan, you can visualize your predictions and see how the model performed.

Machine Learning is the ability to make predictions using data. This course will teach you how to use Machine Learning skills to predict the likelihood of customers defaulting on loans.

Course Overview

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Personlized Teaching

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Case Based Learning

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

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Explain and discuss the main steps of the Machine Learning cycle

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Load and clean data into a python notebook

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Use Exploratory Data Analysis to identify variables with likely predictive power

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Use Feature Engineering to transform data into a more useful format

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Build a logistic regression and random forest prediction model

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Evaluate and compare model performance using common evaluation metrics

Target Students

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Business Intelligence Analyst

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Data Scientist

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Data Visualization Specialist

$41

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