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Loan Default Prediction with Machine Learning

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Course Report - Loan Default Prediction with Machine Learning

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

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.

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Highlights

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Pedagogy

Top 5 Percentile

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Course Credibility

Top 20 Percentile

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Parameters

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Course Credibility

Delivered through Corporate Finance Institute (CFI) a renowned institution in the field, this course offers a comprehensive learning experience.

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Pedagogy

Designed for newcomers to Machine Learning, this course provides a tailored and comprehensive overview, facilitating effective learning and understanding of the subject. It caters to beginners' needs, ensuring a smooth and engaging introduction to the Machine Learning field. An exceptional course in Machine Learning, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.

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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Case Studies,Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Explain and discuss the main steps of the Machine Learning cycle

Load and clean data into a python notebook

Use Exploratory Data Analysis to identify variables with likely predictive power

Use Feature Engineering to transform data into a more useful format

Build a logistic regression and random forest prediction model

Evaluate and compare model performance using common evaluation metrics

Target Students

Business Intelligence Analyst

Data Scientist

Data Visualization Specialist

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3 Coupons Available
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