Go to and clone this repository. This will be the foundation for our project.
Step 2: Think about the problem you want to solve
Not every problem can be solved with Machine Learning.
So think about what exactly you want to achieve and if your expectations are realistic
Step 3: Start modelling your Problem
In order to solve the Problem the Framework will need to have a Model of it.
How to implement a good model of your problem can you see on the next page.
Step 4: Adjust the training values
This may by far be the trickiest part of all.
Sadly, there is no easy solution for this Problem, what values will work will always depend on the specific problem. You just have to try things out and see what works for you.