What is machine learning?
machine learning / artificial intelligence is one of the hottest topics in this century - for good reasons. A neural network is often mentioned but covers only a small part of machine learning. There is much more to explore. There are a lot of interested people out there but many do not know where to start. The difficult question basically is how to start actually learning it?
Especially beginners might get discouraged because of statistics and math which is an integral part of machine learning. None the less you do not need to be a math expert to apply machine learning. This machine learning course is here to show you why.
Instead of telling you all the statistics and math behind the Algorythms i prefer to give you a much more hands on approach. At the end of the day there's only one thing that really counts - THE RESULT.
By joining this course you get the chance to create and optimize your own machine learning algorythms. Again this course is not designed for students who like to learn theory. Those should rather turn to a university professor.
But if you want to actually practise python machine learning and create your own models in python, then this beginner's course is the right way to start!
I wish you all the best, enjoy the course, get your hands dirty and start coding!
I use anaconda 3 with pycharm community edition on a windows pc.
both can be installed for free, just google it.
The scikit learn library can be installed with pip
numpy and pandas should already be part of anaconda
See you in the first lecture
Here you will create your first own algorythm in python with scitkit learn library
You will learn the next classification algorythm
You will learn 3 additional algorythms for you own "Algo - War chest"
What algorythms need most - Data. Learn how to load your data into python
my favourite way to load data into python and also visualize it
Learn how you can improve your Algorythm through preparing your data the right way
Cards on the table - what is the performance of my Algorythm?
A short wrap up of what you have accomplished
Currently this lecture is only available in the first (smaller video size) part
Curently this lecture is only available in the first (smaller video size) part
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"