Predict Fraud With Data Visualization & Predictive Modeling!

In this post, I am sharing the easiest way to free download the Udemy Predict Fraud With Data Visualization & Predictive Modeling! in video format file direct link to the latest updates. Create a credit card fraud detection model! Learn predictive modeling, logistic regression, and regression analysis.

File Name:Predict Fraud With Data Visualization & Predictive Modeling!
Publisher:Levi Ross
File Size:2.80 GB 
Video:h264, 1280×720
Audio:AAC, 44.1 kHz
Duration:8h 52m
Content Source:
File Format:ZIP & RAR
Last Update:2022-08-28


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.


  • Please download PyCharm Community Edition 2017.2.3.

Predict Fraud With Data Visualization & Predictive Modeling! Free Download Links

with_data_visualization_&predictive_modeling.part1.rar – 995.0 MB with_data_visualization&predictive_modeling.part2.rar – 995.0 MB with_data_visualization&_predictive_modeling.part3.rar – 872.9 MB

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