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TAI LOPEZ – 6-Figure Ecomm Agency

TAI LOPEZ – 6-Figure Ecomm Agency | 1.49 GB

Before I share just that — 4 steps to getting paid $1k-$10k a month to help online businesses — let me give you a little backstory.
In 2016, I created a private test group for my Social Media Marketing Agency online program (SMMA).
What started as a few videos, turned into a highly-demanded training that’s helped more than 30,000 people in 90 countries. There are now more than 70 hours of valuable lessons that show you EXACTLY what to do.
The number of success stories from SMMA is insane. It’s helped hundreds of people make 4 to 6 figures a month.
Basically, SMMA is the cream of the crop when it comes to starting an online agency that helps OFFLINE businesses.

In this part, you will create one of the most powerful Deep

Learning models. We will even go as far as saying that you will create the Deep Learning model closest to “Artificial Intelligence”. Why is that? Because this model will have long-term memory, just like us, humans.

The branch of Deep Learning which facilitates this is Recurrent Neural Networks. Classic RNNs have short memory, and were neither popular nor powerful for this exact reason. But a recent major improvement in Recurrent Neural Networks gave rise to the popularity of LSTMs (Long Short Term Memory RNNs) which has completely changed the playing field. We are extremely excited to include these cutting-edge deep learning methods in our course!

In this part you will learn how to implement this ultra-powerful model, and we will take the challenge to use it to predict the real Google stock price. A similar challenge has already been faced by researchers at Stanford University and we will aim to do at least as good as them.

This is the first part of Volume 2 – Unsupervised Deep Learning Models. The business challenge here is about detecting fraud in credit card applications. You will be creating a Deep Learning model for a bank and you are given a dataset that contains information on customers applying for an advanced credit card.

This is the data that customers provided when filling the application form. Your task is to detect potential fraud within these applications. That means that by the end of the challenge, you will literally come up with an explicit list of customers who potentially cheated on their applications.