Predict fraud with data visualization & predictive modeling!
- 3.9
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Brief Introduction
Create a credit card fraud detection model! Learn predictive modeling, logistic regression, and regression analysis.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!
Requirements
- Requirements
- Please download PyCharm Community Edition 2017.2.3.
Mammoth Interactive
3.9 Raiting
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