Fraud Detection using Machine Learning Online Project-based Course

Develop a machine learning project to detect credit card fraudulent transactions

Certificates:
Will be given on completion

Doubts clarification:
1-to-1 Sessions with our experts on Skype/Chat.

Complete Before:
45 days from the date of enrollment
(takes 16-20 Hrs to complete)


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About Fraud Detection using ML Project

In this course, you will learn about various machine learning algorithms and develop a fraud detection project using Python language.
By developing this project you will learn about:

  1. Mean Squared Error Function
  2. Linear Regression & its types
  3. SelectKBest features
  4. Gaussian Naive Bayes Algorithm
  5. Confusion Matrix

How to do the Online Course?

Learn and Develop Fraud Detection using ML Project in 3 Steps

Login to our Online Learning Portal will be provided instantaneously upon enrolling. This Portal gives you access to video lectures, tutorials and quizzes required to develop your Machine Learning using Python project. As you complete the course your project will also be completed.

About Online Course

Features

FeaturesClassroom TrainingOnline project based course
Doubt Clarification1 trainer to 40 studentsPersonal 1-to-1 session (Video/Chat) with our experts
Duration16 Hrs Fixed16 Hrs at your own pace (Complete within 45 days)
VenueFixedAnywhere as per your convenience
Additional cost for studentTravel, Accommodation to reach the venueNo additional costs
RefundOnly before training program startsAnytime if you don't like the course
Revision Using study material in pdf formatSee the video lectures/tutorials any number of times
Pause & ResumeNot possiblePause and resume any number of times
Module Size2 hour lecture3 min videos which will allow you to take breaks
Hands-on session1 trainer to 40 studentsHigh clarity videos showing clear steps which can be reviewed any number of times
CertificationUpon Completion Upon Completion
Study MaterialPDF format (Online)Excellent Video based lectures and tutorials
ExaminationOnline at extra fee (Rs. 299)Inbuilt in the course
PriceRs. 1,500 per studentRs. 1,499 per student (team of 5)

Course Structure



Module 1: What is Machine Learning

Learn: What is Machine Learning

Learn: Supervised vs Unsupervised Learning

Learn: Machine Learning Terminology & Pipeline

Learn: Tools for Machine Learning

Do: Installation of Anaconda

Do: Setting up a Jupyter Notebook

Do: Explore Jupyter

Review: What is Machine Learning

Module 2: Your First Machine Learning Model - Boston Housing

Learn: Boston Housing - Problem Description

Learn: Types of Data & Its Implications

Learn: Preprocessing of Data

Do: Import BH Data

Do: Data Visualization of BH Data

Do: Correlation between Target & Attributes

Review: Your First Machine Learning Model!

Module 3: Mean Squared Error

Learn: Errors & Types

Learn: Mean Squared Error

Do: Define MSE Function

Do: Calculate MSE for Sample Data

Review: Mean Squared Error

Module 4: Data Splitting & Accuracy of Model - Boston Housing

Learn: Testing & Training Data - Cross Validation

Do: Split the dataset

Review: Data Splitting & Accuracy of Model

Module 5: Linear Regression - Boston Housing

Learn: Linear Regression & its Types

Learn: Gradient Descent - Learning Rates

Learn: Programming logic - Update Function

Do: Update Function

Learn: Programming logic - Descent Function

Do: Descent Function

Learn: Programming logic - Model Training Visualization

Do: Model Training Visualization

Learn: Programming logic - Error Visualization

Do: Error Visualization

Review: Linear Regression

Module 6: Machine Learning Prediction - Boston Housing

Learn: Prediction & Validation

Learn: Programming logic - Prediction of Prices

Do: Prediction of Prices

Do: Train Model with Different Attributes & Predict

Review: Machine Learning Prediction

Module 7: Machine Learning Prediction - Boston Housing

Learn: Credit Card Fraud Detection - Problem Description

Learn: Data Preprocessing - Programming Logic

Do: Import & Visualize Data

Do: Preprocess Data

Module 8: SelectKBest Features

Learn: What is SelectkBest

Learn: SelectKBest - Programming Logic

Do: SelectKBest Features

Do: Discard Bad Features

Do: Visualize Features

Module 9: Train Model

Learn: What is Gaussian Naive Bayes Algorithm

Learn: What is Cross Validation

Learn: Gaussian Naive Bayes - Programming Logic

Do: Split Dataset

Module 10: Fraud Prediction

Learn: What is Confusion Matrix

Learn: Confusion Matrix - Programming Logic

Learn: Evaluation & Visualization

Team Size and Certification

  • A team can have maximum of 5 members
  • All members will get logins
  • Certificate of Completion will be provided to each team member as soon as the member completes the course

All Skyfi Labs certificates come with a unique ID which can be verified online for authentication.

Eligibility

Anybody who has prior knowledge on Python and want to develop machine learning skills can take up this project-based course.

Why Roboversity?

  • Roboversity is a division of Skyfi Labs that develops courses with a focus on Electrical and Electronics Engineering disciplines.
  • Awards won by us:
    • 2nd Best Business Venture Award, Ideas, IIT Kanpur
    • 30 Most Promising Startups, Next Big Idea, IIM Bangalore
    • Runner-up, UnLtd India Growth Challenge
    • Limca book of records
  • Associated with industry and partnership with organizations transforming engineering education
  • Our courses are officially a part of IIT Delhi Syllabus and IIT Kanpur orientation programs
  • Experience of training students across 27 states in India and Dubai (Presence)
  • Improved performance of students in Campus Placements
  • A venture by IIT Kanpur alumni and funded by The Chennai Angels and Spark Capital

Have any concerns?

View FAQs

Contact Details

Please feel free to contact us in case of any queries.
Email: info@roboversity.com
Phone: 18001237177 (10AM - 8PM; Mon - Sat)

Registrations

Enroll Now
(Net Banking/Credit Card/
Debit Card)
Try it Free
(First few chapters free)

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