Portfolio Project :Credit Card Fraud
Detection for Vesta

  • Build a classification engine which predicts whether a transaction is fraud or not
  • Work on multiple features on real data set
  • Explore alternate approaches to modeling and evaluation



Created by Selva Prabhakaran

  • 44 Video Lessons

  • English

  • English captions

Validity Period: 365 days

Already Subscribed? Click here to access your courses

  •  Course Certificate
  • Code Walkthroughs
  • Practice Data
  • Money Back if not satisfied
  • Algorithms explanation
  • 2h 26m of Self-paced videos
  • Downloadable resources
  • Q&A sessions with experts

What you will learn

01

Frame Data science problem
statement

02

Extensive Exploratory Data
Analysis

03

Feature Engineering
Strategies

04

Build Multiple Classification
Models

05

Model Evaluation and
improvement

06

Advanced Machine Learning
Algorithms

07

Real data processing
Techniques

08

Derive high business impact
insights

Course Curriculum

12 Modules      |    51 Sessions     |    5 hour 12 min Total Time  

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Overview

Sessions: 2 | Time: 4 min expand_more

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Setup new environment

Sessions: 3| Time: 17 min expand_more

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Understanding the data

Sessions: 4| Time: 17 min expand_more

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Pre-process Data and EDA

Sessions: 2| Time: 16 min expand_more

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Statistical Significance Tests

Sessions: 6| Time: 58 min expand_more

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Engineer new features and process da

Sessions: 5| Time: 28 min expand_more

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Building XGBoost Model

Sessions: 3| Time: 7 min expand_more

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Model Evaluation Methods

Sessions: 6| Time: 48 min expand_more

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Using Complex ML Models for Better Performance

Sessions: 8| Time: 48 min expand_more

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Using Model Improvement Strategies

Sessions: 5| Time: 34 min expand_more

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Interpreting and Explaining the Model

Sessions: 6| Time: 33 min expand_more

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Summary

Sessions: 1| Time: 2 min expand_more

Requirements

  • Courses Page1 Basic Maths and Logical Reasoning
  • Courses Page1 Curiosity about Data Science
  • Courses Page1 Learning Mindset

Who should attend this course?

  • Future Data Scientists and ML Engineers

  • Product Managers, Program Managers, Scrum Masters working in ML/Data science project

  • Software/Data engineers interested in quantitative analysis

  • Software engineers interfacing with data science team

  • Executives who have to lead or interact with Data Scientists

Instructor

Selva Prabhakaran Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this project!
I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I’ve deployed 20+ global products. I’m also the Founder & Chief Author of Machine Learning Plus, which has over 4M annual readers.
I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I’ve put up the series of courses and projects with detailed explanations – just like an on the job experience. Hope you love it!
  • 4.5+Instructor rating

  • 200+ reviews

  • 10K+students

  • 15+ Courses

Validity Period: 365 days

Already Subscribed? Click here to access your courses

  •  Workshop Certificate
  • Code Walkthroughs
  • Practice Data
  • Money Back if not satisfied
  • Algorithms explanation
  • 2h 26m of Self-paced videos
  • Downloadable resources
  • Q&A sessions with experts