Description

The Market Matrix By Steve Copan

Market Matrix – Steve Copan | 1 GB

Matrix Training
Training on the Matrix and advanced Matrix is available on a 1-to-1 basis with Steve Copan rather than a group of people, as this allows for the trader to get the full benefit of dedicated time with Steve and allows them to Learn at their own pace.

What you’ll Learn
Default git commands
Create first repository on GitHub
Learn about merging process
Learn how to resolve git merge conflicts

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.

movie recommendations – good recommender systems are very valuable in today’s World. And specialists who can create them are some of the top-paid Data Scientists on the planet.

We will work on a dataset that has exactly the same features as the Netflix dataset: plenty of movies, thousands of users, who have rated the movies they watched. The ratings go from 1 to 5, exactly like in the Netflix dataset, which makes the Recommender System more complex to build than if the ratings were simply “Liked” or “Not Liked”.

Your final Recommender System will be able to predict the ratings of the movies the customers didn’t watch. Accordingly, by ranking the predictions from 5 down to 1, your Deep Learning model will be able to recommend which movies each user should watch. Creating such a powerful Recommender System is quite a challenge so we will give ourselves two shots. Meaning we will build it with two different Deep Learning models.

Our first model will be Deep Belief Networks, complex Boltzmann Machines that will be covered in Part 5. Then our second model will be with the powerful AutoEncoders, my personal favorites. You will appreciate the contrast between their simplicity, and what they are capable of.