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Predict fraud with data visualization & predictive modeling!
Rating: 4.2 out of 5(136 ratings)
1,435 students

Predict fraud with data visualization & predictive modeling!

Create a credit card fraud detection model! Learn predictive modeling, logistic regression, and regression analysis.
Last updated 1/2019
English

What you'll learn

  • Learn how to code in Python, a popular coding language used for websites like YouTube and Instagram.
  • Learn TensorFlow and how to build models of linear regression
  • Make a Credit Card Fraud Detection Model in Python. Learn how to keep your data safe!

Course content

11 sections58 lectures8h 52m total length
  • What is Python Artificial Intelligence?5:00

Requirements

  • Please download PyCharm Community Edition 2017.2.3.

Description

"There are not that many tutorials on PyCharm. In fact, hardly any. Because of this one, I got my first broad overview of not only PyCharm, but also TensorFlow. Bottom-line: It's a great value for money." ⭐ ⭐ ⭐ ⭐ ⭐ 

"Incredible course. Looking forward for more content like this. Thank you and good job." - Joniel G.

"Makes learning Python interesting and quick."

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Do you want to learn how to use Artificial Intelligence (AI) for automation? In this course, we cover coding in Python, working with TensorFlow, and analyzing credit card fraud. We interweave theory with practical examples so that you learn by doing.

This course was funded by a wildly successful Kickstarter.

AI is code that mimics certain tasks. You can use AI to predict trends like the stock market. Automating tasks has exploded in popularity since TensorFlow became available to the public (like you and me!) AI like TensorFlow is great for automated tasks including facial recognition. One farmer used the machine model to pick cucumbers! 

Join Mammoth Interactive in this course, where we blend theoretical knowledge with hands-on coding projects to teach you everything you need to know as a beginner to credit card fraud detection.

Enroll today to join the Mammoth community!

Who this course is for:

  • Beginners who want to learn to use Artificial Intelligence.
  • Prior coding experience is helpful. For an in-depth intro to Python, search for our Ultimate Python Beginner Course.
  • Topics involve intermediate math, so familiarity with university-level math is very helpful.