python machine learning ai ? What? How to?...
Machine Learning is currently one of the hottest topics out there. From movie recommendation systems to self driving cars - technology shifts towards ML. Google, Amazon, Microsoft and co. all applying machine learning algorithms to create new products and better serve their customers. The working place of tomorrow is related to ML. No wonder that interest has drastically risen. The difficult question for beginners is how to get into it. From my personal experience the best way is to get one’s hands dirty and apply machine learning in practice. Instead of spending long hours and try to understand all theory behind it, it’s much better to simply execute it because at the end of the day, it boils down to that.
This course addresses "advanced beginners" and is all about executing machine learning in python. We cover some theory along the way but mostly focus on applying it.
If you want to start in machine learning I would recommend checking out my course "Machine learning for Beginners" first, since it covers more basics. However it is not mandatory.
Note that all my courses require to understand at least some basics of machine learning and are hands on practical coding courses. If that's your way of learning it, than this course is for you!
Enough said. We got a lot to do. See you in the first lecture.
What are you going to learn in this course. Check out here!
Data shortage is a common problem in machine learning. Here you are going to learn how you can create more data
Machine algorithms require numerical data. How can you use string values in machine learning?
A common tool to get much better results in machine learning
Learn and apply a way to avoid overfitting and reduce the features when training your algorithm
The more you know how to handle strings the better your warchest
Learn it apply it!
The introduction and first preprocessing steps. Understand what we are dealing with here
The second step of preprocessing for making the final prediction
Preprocessing, Training and Testing - all right. Now it's time to make your own prediction!.
Wrap up and final words to support your journey
Daniel is a 28 year old entrepreneur ,data scientist and web analyst consultant. He holds a master degree as well as other major certificates from Google and others.
He is committed to support other people by offering them educational services to help them accomplishing their goals and becomming the best in their profession.
"In order to do the impossible you need to see the invisible"