Predict fraud with data visualization & predictive modeling! (Udemy.com)

I thought the course would be all about different types of Frauds

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 Course is outdated as it refers to Tensorflow 1 while the latest is 2.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.

Great content and a great voice behind the explanations. The only critique I have is that some of the material/code needs a slight update for TensorFlow2.3+. That being said just running everything in compat.mode for TF1.0+ works great!

Useful and practical, with knowledge from beginner to expert. Easily skip over sections you are already comfortable with, or revisit sections you need to understand more.

Incredible course. Looking forward for more content like this. Thank you and good job.

The talking is too much. You spend so much talking instead of explaining with examples

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. Just 1 humble suggestion: Have a small section for neural networks too, before diving into fraud detection application. Just about 15 minutes of so, should suffice. Thank you for the great course. Regards

videos are unnecessarily long... especially intro videos, dataset intro... by the time I am reaching main content I feel already tired and a little bored..... sorry for this feedback I haven't reached the main content yet but I would have loved if there wasn't too much talking in the intro videos of every section.

I can easily understand him and he gives us a chance to learn on our own.

I'm really enjoying this course and the concepts being presented.