machine learning for beginners - deep dive
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machine learning for beginners - deep dive

python machine learning in depth
Best Selling
5.0 (7 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
226 students enrolled
Created by Daniel We
Last updated 3/2017
English
Curiosity Sale
Current price: $10 Original price: $100 Discount: 90% off
30-Day Money-Back Guarantee
Includes:
  • 1.5 hours on-demand video
  • 1 Supplemental Resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Increased knowlege on top of my basic course
  • Know best ways to prepare your data
  • Know how to select the best features for your algorithm
  • Know how to tune your algorithm
  • Know how to evaluate your algorithm
  • Kow how to automate machine learning
View Curriculum
Requirements
  • Participants need to have Python installed
  • Participation in my Machine Learning for Beginners Course or equivalent knowledge is recommended
  • Being familiar with basic Python Syntax
  • This is a hands-one Course - You are writing the code with me together
  • Practice makes perfect - so don't be encouraged. You can do it! I promise!
Description

What is machine learning ?

machine learning / ai (artificial intelligence) is one of the hottest topics in this century - for good reasons. 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 is my second course to show you why.

Instead of telling you all the statistics and math behind the machine learning 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.

How to learn machine learning ?

By joining this course you can leverage the knowledge you acquired from my first course (Machine Learning for Beginners) and get the chance to dive much deeper into the machine learning world. Again this course is not for students who like to learn theory. Those should rather turn to a university professor or wikipedia.

But if you want to actually practise python machine learning and learn how to improve your own algorithms then this beginner's course is the right way to continue your learning journey

I wish you all the best, enjoy the course, get your hands dirty and start coding!

See you in the first lecture

Who is the target audience?
  • beginners in machine learning
  • people who like a hands-on approach and not only watching
  • all people who want to dive into one of the hottest topics out there but do not know where to start
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Curriculum For This Course
11 Lectures
01:41:15
+
Practice makes perfect - let's code
11 Lectures 01:41:15

Enter the M... start learning with me!

Preview 02:40

Learn techniques to prepare your data for better performance

The right way to prepare your data
14:02

other ways to prepare your data for best results

Preview 07:33

Learn the best Techniques to decide which features are relevant for your algorithm

Which features should i use for optimal performance?
10:57

Wait there is more! Watch and try by yourself

Additional feature selection options
11:21

Want the best performance? Then it's time to optimize your algorithm for outstanding results

Let's tune our algorithm for optimal performance
11:29

You want more? Here you go! Practice additional tuning possibilities

Algorithm Tuning Part 2
08:18

Cards on the table. What is the actual performance of your algorithm?

Evaluation - how is your algorithm performing?
11:23

Performancemeasurement Part 2

Evaluation - how is your algorithm performing 2
09:16

Learn how to automate the steps to create state of the art algorithms

Machine Learning Automation
10:53

The best for the end. Important last notes to consider.

Wrap up and last words (worth watching!)
03:23
Frequently Bought Together
About the Instructor
Daniel We
4.6 Average rating
195 Reviews
4,978 Students
19 Courses
Traveller

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"