Machine Learning applied to manufacturing processing

Learn to develop a machine learning project to real world problems in manufacturing processes

4.00 (65 reviews)
Udemy
platform
English
language
Other
category
instructor
196
students
2.5 hours
content
Mar 2020
last update
$34.99
regular price

What you will learn

How to apply machine learning techniques to real world problems in the area of manufacturing

Learn to implement useful and popular machine learning algorithms

Learn what manufacturing processing is

Learn about supervised and unsupervised machine learning approaches

Learn to train a machine learning model

Learn how to apply machine learning to a power plant

Learn how a real data analysis project is developed

Learn how to work with data files and load for data analysis

Learn how to use free python libraries for machine learning

Learn how to use jupyter notebook as a tool to develop a machine learning project

Get valuable insights from data analysis and build a report

Description

In this course, you are going to learn how to develop a machine learning project to solve real-world problems that you can find in the manufacturing area.

You will learn the more practical and useful algorithms that can help you to do predictions and work with big data.

If you are not familiar with machine learning and manufacturing, don't worry, because, in this course, you will learn the necessary to understand these manufacturing areas and machine learning thinking, so easily you will apply these techniques to this field.

And as we know, the best way to learn is making, so we will develop a project using python, in which we are going to analyze a real production power plant and we are going to develop different machine learning in order to predict the production of electricity based on various variables.

So, get started in machine learning with this amazing course and start to learn a bit about how machine learning can improve the manufacturing world.

Content

Introduction to Manufacturing processes

Introduction to Unit operations
Control and monitoring systems of processes
Production measurements in production plants

Introduction to Machine Learning

Introduction to Machine Learning
Basic supervised learning algorithms (linear regression)
Basic unsupervised learning algorithms
PCA for dimensionality reduction
Workflow to train a model

Explanation of the study case

Explanation of the power plant
Explanation of the power plant dataset

Data exploration of the study case

Defining objective of data analysis
Loading the dataset
Analyze data distributions and correlations

Machine learning models applied to study case

Univariate Linear regression to predict production
Multivariate Linear regression to predict production
Dimensionality Reduction (to 1 Dimension) using PCA and then, apply a Linear Reg
Dimensionality Reduction (to more than 1 Dimension) using PCA and then, apply a

Building a report with the insights of data analysis

Build a report of the more important insights you found from data analysis

Summarize course

Summarize course

Screenshots

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Reviews

Di
November 5, 2021
I don't think it is properly explained for begginers. It is clear however that the instructor has a great knowledge of the field but I would work a bit more on the delivery.
Vincenzo
August 1, 2020
Muy conciso y directo, da una buena introducción al contexto de la ingeniería de procesos y te forma con paquetes específicos en python hacer análisis del proceso en pocas líneas.
Manuel
May 10, 2020
Robust, quick-compression and well-structured content. I highly recommend this course to who are starting in the world of Python programming and how packages like "Pandas" can be an easy tool for big data coming from productive processes of the chemical industry, for example.
Jose
May 1, 2020
It was a good introduction to Machine Learning and what it means. It has a good overview of the different methodologies, with an easy example. Maybe a deeeper explanaiton on what the different commands do it would be helpful.
Matías
April 23, 2020
Muy buena elección haber realizado este curso !! Es un área de interés creciente, y en el curso se abordan los conceptos desde la más básico hasta lograr el objetivo final, y siempre explicando paso a paso las etapas del proceso que se está llevando a cabo. Se nota la dedicación del trabajo ! Por mi parte, me ha permitido explorar un área en la que me inicié hace poco, por lo que conocí nuevas herramientas muy útiles con el curso.
Paulina
April 23, 2020
I highly recommend this course. It is very well explained and structured. All the theory is explained in a simple way, very straightforward. The instructor writes and explains the code at the same time, so it is impossible to get lost. I specifically liked that I learned how to use Python Pandas for machine learning applications. Thank you very much!

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2929312
udemy ID
3/29/2020
course created date
8/8/2020
course indexed date
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