machine learning for beginners
3.8 (19 ratings)
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machine learning for beginners

Learn to create your fist algorythms - hands on approach
3.8 (19 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.
260 students enrolled
Created by Daniel We
Last updated 5/2017
English
Current price: $10 Original price: $100 Discount: 90% off
5 hours left at this price!
30-Day Money-Back Guarantee
Includes:
  • 2.5 hours on-demand video
  • 2 Articles
  • 1 Supplemental Resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • create your first algorithms with sklearn in python
  • select the best features for you algorithm
  • improve performance on your algorithm
  • evaluate your algorithm
View Curriculum
Requirements
  • Please note that the videos were reuploaded in a bigger screensize in Part 2
  • Install Python and Modules (e.g. via Pip)
  • Being familiar with basic Python syntax
  • This is a hands-on approach -> You are coding
Description

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!

PS:

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


Who is the target audience?
  • beginners in machine learning
  • people who like a hands-on approach and not only watching
  • people who prefer practice instead of theory
  • 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
18 Lectures
02:37:30
+
No more words. Let's get into coding!
10 Lectures 01:28:58

Here you will create your first own algorythm in python with scitkit learn library

Preview 10:50

You will learn the next classification algorythm

Hands on part 2: Let's learn the next algorythm
11:24

You will learn 3 additional algorythms for you own "Algo - War chest"

Additional Algorythms for your "AlgoWar chest"
10:01

What algorythms need most - Data. Learn how to load your data into python

Preview 09:53

my favourite way to load data into python and also visualize it

My best Tip for data input
04:54

How to select the best input for your Algorythm
12:24

Learn how you can improve your Algorythm through preparing your data the right way

How to improve your Algorythm through data preparation
10:27

Cards on the table - what is the performance of my Algorythm?

Let's evaluate your Algorythm
13:53

A short wrap up of what you have accomplished

Wrap up
02:48
+
Reupload of most lectures in bigger size
8 Lectures 01:08:32
Hands on the first algorythm
10:50

Hands on part 2 lets learn the next algorythm
11:24

Additional Algorythms for your Algo Warchest
10:01

Get your Input data for your algorythm
09:53

Currently this lecture is only available in the first (smaller video size) part

My best Tip for Data input
00:04

How to select the best input for your algorithm
12:24

Curently this lecture is only available in the first (smaller video size) part

How to improve your algorithm through data preparation
00:02

Let's evaluate your algorithm
13:53
About the Instructor
Daniel We
4.6 Average rating
232 Reviews
5,829 Students
21 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"