What you'll receive
  • Fraud Detection using ML project tutorials
    Fraud Detection using ML project tutorials

    Get course access instantly & learn 24x7

  • Learn and build your Fraud Detection using ML project from anywhere, anytime
    Online Course

    Learn and build your project anywhere, anytime

  • Build Fraud Detection using ML project and showcase your practical skills to the world
    Smart Certificate

    Showcase your practical skills to the world

  • Clear your doubts on Fraud Detection using ML project through dedicated 1-1 sessions
    1-1 Expert Support

    Clear your doubts in dedicated 1-1 sessions

What you'll develop
  • Working Fraud Detection using ML Project
    Working Fraud Detection using ML Project

    Impress your interviewers, teachers and friends

  • Develop technical skills by building Fraud Detection using ML project

    Not a 'paper engineer'. Be a real, practical engineer

  • Build portfolio by building Fraud Detection using ML project

    Projects portfolio. Not bunch of certificates.

  • Grab the best jobs and higher education opportunities by building Fraud Detection using ML project
    A Career

    Grab the best jobs and higher education opportunities

Why develop this fraud detection project?

Credit card processing fraud has hit $32.320 trillion in total.
All banks are trying to use Machine Learning to tackle this problem.
In this course, you will learn how to use ML to use past banking data to identify such fraudulent credit card transactions!
No prior experience in Python needed

Fraud Detection using ML Project Thumbnail
What you'll learn in this course

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

  • 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
  • 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!
  • Learn: Errors & Types
  • Learn: Mean Squared Error
  • Do: Define MSE Function
  • Do: Calculate MSE for Sample Data
  • Review: Mean Squared Error
  • Learn: Testing & Training Data - Cross Validation
  • Do: Split the dataset
  • Review: Data Splitting & Accuracy of Model
  • 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
  • Learn: Prediction & Validation
  • Learn: Programming logic - Prediction of Prices
  • Do: Prediction of Prices
  • Do: Train Model with Different Attributes & Predict
  • Review: Machine Learning Prediction
  • Learn: Credit Card Fraud Detection - Problem Description
  • Learn: Data Preprocessing - Programming Logic
  • Do: Import & Visualize Data
  • Do: Preprocess Data
  • Learn: What is SelectkBest
  • Learn: SelectKBest - Programming Logic
  • Do: SelectKBest Features
  • Do: Discard Bad Features
  • Do: Visualize Features
  • Learn: What is Gaussian Naive Bayes Algorithm
  • Learn: What is Cross Validation
  • Learn: Gaussian Naive Bayes - Programming Logic
  • Do: Split Dataset
  • Learn: What is Confusion Matrix
  • Learn: Confusion Matrix - Programming Logic
  • Do: Evaluation & Visualization
How can you build this Fraud Detection using ML project?
1) Enroll

Get access to course instantly and learn 24x7 anytime, anywhere at own convenience

2) Learn

Access video lectures, tutorials and quizzes to learn the technology in Machine Learning

3) Build

Use the tutorials with practical sessions in course to build your Machine Learning project

4) Submit assignment

Complete the course and submit your assignment to get your certificate

Get Started Now

Signup and try our first few chapters free of cost. Pay only when you like it!

Self Paced
Enroll together. Pay less
Team of 5 $34 /student
Team of 4 $37 /student
Team of 3 $42 /student
Team of 2 $51 /student
Team of 1 $79 /student

You can also add friends later

Live Online
Enroll together. Pay less
Team of 5 $51 /student
Team of 4 $55 /student
Team of 3 $62 /student
Team of 2 $76 /student
Team of 1 $118 /student

You can also add friends later

Want in your institute?
Organize a Workshop

Our experts will visit your college/ school/ office with the kits and conduct an awesome hands-on workshop.

Learning will not be more fun than this!

Frequently Asked Questions about Fraud Detection using ML project

How to build a Fraud Detection using ML project?

Login to our online learning portal will be provided instantly upon enrollment. The portal will have video lectures, tutorials, and quizzes required to build the Fraud Detection using ML project. Use the tutorials along with the online portal to complete the project at your home itself.
You can enroll for free demo to understand how it works better. Pay only when you are confident and if you like it!

How much time do I have to complete the Fraud Detection using ML project?

You need to complete the project within 45 days of enrollment. Generally, the project would take 16-20 hours to complete.

Should I enroll in Online Course or Offline Workshop?

To help you select the right mode of learning, here are the features of both:

FeaturesClassroom TrainingOnline project based course
Doubt Clarification1 trainer to 40-50 studentsPersonal 1-to-1 session (Video/Chat) with our experts
FlexibilityFixed place and timeAnywhere, Anytime - at your convenience
VenueFixed, only when schedulesAnywhere as per your convenience
Additional cost for studentTravel, Accommodation to reach the venueNo additional costs
RefundOnly before training program startsUpto 3 days of receiving the course access
Revision Using study material in pdf formatSee the video lectures/tutorials any number of times
Pause & ResumeNot possiblePause and resume any number of times
Hands-on session1 trainer to 40-50 studentsHigh clarity videos showing clear steps which can be reviewed any number of times
CertificationUpon Completion Upon Completion
ExaminationOnline at extra feeInbuilt in the course

Can my friends build along with me?

Ofcourse, and we strongly encuorage that. The course is fun and learning is more effective when you work together, learn together and build together!

  • A team can have maximum of 5 members.
  • All team members will get separate logins and certificate.

Am I eligible for this course?

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

Who will clarify my doubts?

Our expert trainers are available to clear your doubts. It is very simple. You will just have to select a time slot that is suitable for you (you will see this option once you start the course) and your trainer will call you at that time and help you. The doubt clarification sessions are always 1-1. So you can ask as many doubts as you want any number of times!

Why should I choose Skyfi Labs?

Skyfi Labs, a venture by IIT Kanpur alumni, was founded with a motive to make learning by building projects super easy for students all across the globe. Training 2,50,000+ students across 30+ countries, Skyfi Labs got prestigious awards like 2nd Best Business Venture Award, Ideas, IIT Kanpur | 30 Most Promising Startups, Next Big Idea, IIM Bangalore | Runner-up, UnLtd India Growth Challenge etc. Our courses have also been in the curriculum of IIT Delhi for the last 5 years. With such an experience, you can be rest assured that you will get quality project training from Skyfi Labs.
If you still dont like it, dont worry. We offer 100% refund if you apply within 3 days of receiving the course access.

How can I contact Skyfi Labs?

Please feel free to contact us in case of any queries. Email: info@skyfilabs.com, Toll-free: 18001237177 (10AM - 8PM; Mon - Sat)
We prefer email contact as that can be replied by the right expert who can answer your question!

What is included in the fee?

The fee you pay includes:

  • Course content
  • Charges for technical support

Upon payment, we will also provide you with a tax invoice for the above mentioned.

Any more questions?