Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
8 Hour(s) 52 Minute(s)
Language
English
Taught by
Mammoth Interactive, John Bura
Rating
Course Overview
Create a credit card fraud detection model! Learn predictive modeling, logistic regression, and regression analysis.
"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!
Course Content
- 10 section(s)
- 58 lecture(s)
- Section 1 Introduction
- Section 2 Python Basics
- Section 3 TensorFlow Basics
- Section 4 Fraud Detection (Credit Card)
- Section 5 Bootcamp Peek! Machine Learning Neural Networks
- Section 6 Explore the Keras API
- Section 7 Format Datasets and Examine CIFAR-10
- Section 8 Build an Image Classifier Model
- Section 9 Save and Load Trained Models
- Section 10 Bonus Sections Source Material
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!
Skills covered in this course
Reviews
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MMerve Baysal
Appreciated
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YYj99
This course is outdated, not helpful
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SSinenlhanlhla
Really appreciatehow the course is structured.
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SSubhash Remani
Pros: 1. Quick learning of Python and exercises to keep engaged 2. You get a fair idea of Image Classifier using ML technique Cons: 1. Course is outdated as it refers to Tensorflow 1 while the latest is 2. You need to modify the given code to make it work and nobody is telling you upfront. 2. The title of this course is misleading. I wanted to learn the case study of credit card fraud but it gives no information on the basis of data we are doing dealing with. You will end up learning more Image Processing than financial fraud. 3. Sometimes the trainer talks more than actually required. 4. Installing Tensorflow was a nightmare Recommend to learn Data Science prior to learning ML since all the processing that takes place here is based on what data we are dealing with. It wont make much sense without knowing why those ML techniques are used for the given data.
