machine learning and neural networks mini case studies
4.2 (7 ratings)
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machine learning and neural networks mini case studies

The red or the blue pill Neo?
4.2 (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.
41 students enrolled
Created by Daniel We
Last updated 5/2017
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?
  • You will be able to decide which machine learning algorythm to use to solve you specific question for your dataset
  • You will be able to implement a time series prediction machine learning approach
View Curriculum
Requirements
  • This is a practical and not a theoretical course. We do not start completely from scratch.
  • You should have first basic experience with machine learning
  • We will use Python 3.5. You need to install keras and scikit learn library (e.g. via pip)
Description

What is machine learning / ai ? How to lean machine learning in practice?

Well,

"I give you 2 options. A red pill and a blue pill. Take the red pill and you will experience wonderland, take the blue pill and you will wake up tomorrow morning in your bed as if nothing has happend"

If you decide to take the red pill then...

welcome to my machine learning and neural networks mini case studies course where we cover topics about the hottest topic on the planet. Machine learning is the new steam engine and will shift the world of tomorrow.

If you want to be part of this and get your hands dirty than come and join me to explore practical examples of machine learning and deep neural networks in python. The practical approach gives you 2 mini case studies where you learn 

  1. How to select the best machine learning algorithm for your problem
  2. How to set up a time series prediction with a neural network

This course is designed to be a practical approach. This is not a theoretic starting point for complete beginners. I recommend that you have at least a basic understanding of machine learning and python programming. Anyway, everyone is welcome in Wonderland.

Enought words. Let's get into coding. See you in the first lecture...

Who is the target audience?
  • Everyone interested in practically applying machine learning algorithms
  • Everyone interested in the topic
  • people with basic knowledge about machine learning and python
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Curriculum For This Course
9 Lectures
01:18:55
+
machine learning algorithm is loading...
1 Lecture 01:44

Take the red pill and stay in wonderland

Preview 01:44
+
How to select the best machine learning algorithm?
3 Lectures 26:43

The introduction for the first case study.

Preview 06:04

Let's code the machine learning comparison set up in python

3 lets code the machine learning algorithm comparison
18:00

Visualize the results of what you have coded. Congratulation. You mastered the first machine learning mini case study

4 machine learning algorithm visualize and compare the results
02:39
+
Time series prediction with neural networks
5 Lectures 50:28

A brief intro on time series predicitions using neural networks.

Preview 05:13

Let's first prepare the data to implement our neural network

6 machine learning - time series prediction - data preparation
19:11

The final steps in preparing everything we need to make our machine learning forecast with the neural network

7 finishing our machine learning time series test and prepare for evaluation
13:41

Visualize our results.

8 evaluate and visualize machine learning time series results
11:32

The red pill was the right choice. Final words

Log out
00:51
About the Instructor
Daniel We
4.6 Average rating
198 Reviews
4,984 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"