We may earn an affiliate commission when you visit our partners.
Course image
Course image
Coursera logo

Predict Gas Guzzlers using a Neural Net Model on the MPG Data Set

Chris Shockley

In this 1-hour long project-based course, you will learn how to (complete a training and test set using an R function, practice looking at data distribution using R and ggplot2, Apply a Neural Net model to the data, and examine the results using a Confusion Matrix.

Read more

In this 1-hour long project-based course, you will learn how to (complete a training and test set using an R function, practice looking at data distribution using R and ggplot2, Apply a Neural Net model to the data, and examine the results using a Confusion Matrix.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Enroll now

What's inside

Syllabus

Project Overview
Here you will describe what the project is about. It should give an overview of what the learner will achieve by completing this project.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Suitable for learners in North America region with focus on this geographic area

Save this course

Save Predict Gas Guzzlers using a Neural Net Model on the MPG Data Set to your list so you can find it easily later:
Save

Reviews summary

Beginner-friendly intro to neural networks

Learners say this course is easy to follow and provides a well-rounded introduction to the basics of neural networks. Beginners especially appreciate the clear and concise teaching style and step-by-step approach. Real world examples and interactive projects contribute to a highly engaging learning experience.
Plenty of real world examples and assignments
"real world examples helped me understand the concepts better"
"interactive projects were a great way to apply what I learned"
"assignments were challenging but fair"
Course is beginner-friendly
"great intro to neural networks for beginners"
"clear and concise teaching style"
"step-by-step approach made it easy to follow"
Covers only the basics of neural networks
"just a basic overview of neural networks"
"wanted to learn more advanced techniques"

Activities

Coming soon We're preparing activities for Predict Gas Guzzlers using a Neural Net Model on the MPG Data Set. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Predict Gas Guzzlers using a Neural Net Model on the MPG Data Set will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists use their skills in programming, statistics, and machine learning to extract insights from data. The Predict Gas Guzzlers using a Neural Net Model on the MPG Data Set course would be a valuable addition to your resume, as it would demonstrate your proficiency in these skills. This course would be particularly helpful for those who wish to specialize in the field of predictive analytics.
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models to solve real-world problems. The Predict Gas Guzzlers using a Neural Net Model on the MPG Data Set course can help you build a foundation in the fundamentals of machine learning, including data preparation, model building, and evaluation. This course would be particularly useful for those who wish to pursue a career in the field of artificial intelligence.
Data Analyst
Data Analysts use their skills in data analysis, visualization, and communication to help businesses make better decisions. The Predict Gas Guzzlers using a Neural Net Model on the MPG Data Set course would be a valuable addition to your resume, as it would demonstrate your proficiency in these skills. This course would be particularly helpful for those who wish to specialize in the field of business intelligence.
Statistician
Statisticians use their skills in data analysis, modeling, and forecasting to solve real-world problems. The Predict Gas Guzzlers using a Neural Net Model on the MPG Data Set course would be a valuable addition to your resume, as it would demonstrate your proficiency in these skills. This course would be particularly helpful for those who wish to specialize in the field of data science.
Quantitative Analyst
Quantitative Analysts use their skills in mathematics, statistics, and programming to develop models to predict financial markets. The Predict Gas Guzzlers using a Neural Net Model on the MPG Data Set course would be a valuable addition to your resume, as it would demonstrate your proficiency in these skills. This course would be particularly helpful for those who wish to specialize in the field of financial engineering.
Software Engineer
Software Engineers design, develop, and maintain software systems. The Predict Gas Guzzlers using a Neural Net Model on the MPG Data Set course would be a valuable addition to your resume, as it would demonstrate your proficiency in these skills. This course would be particularly helpful for those who wish to specialize in the field of data engineering.
Data Engineer
Data Engineers design, build, and maintain data pipelines to support data analytics and machine learning applications. The Predict Gas Guzzlers using a Neural Net Model on the MPG Data Set course would be a valuable addition to your resume, as it would demonstrate your proficiency in these skills. This course would be particularly helpful for those who wish to specialize in the field of data infrastructure.
Business Analyst
Business Analysts use their skills in data analysis, process improvement, and communication to help businesses make better decisions. The Predict Gas Guzzlers using a Neural Net Model on the MPG Data Set course would be a valuable addition to your resume, as it would demonstrate your proficiency in these skills. This course would be particularly helpful for those who wish to specialize in the field of operations research.
Financial Analyst
Financial Analysts use their skills in financial modeling, analysis, and forecasting to help businesses make better decisions. The Predict Gas Guzzlers using a Neural Net Model on the MPG Data Set course would be a valuable addition to your resume, as it would demonstrate your proficiency in these skills. This course would be particularly helpful for those who wish to specialize in the field of corporate finance.
Actuary
Actuaries use their skills in mathematics, statistics, and finance to assess risk and develop insurance products. The Predict Gas Guzzlers using a Neural Net Model on the MPG Data Set course would be a valuable addition to your resume, as it would demonstrate your proficiency in these skills. This course would be particularly helpful for those who wish to specialize in the field of insurance.
Risk Analyst
Risk Analysts use their skills in data analysis, modeling, and forecasting to identify and mitigate risks. The Predict Gas Guzzlers using a Neural Net Model on the MPG Data Set course would be a valuable addition to your resume, as it would demonstrate your proficiency in these skills. This course would be particularly helpful for those who wish to specialize in the field of risk management.
Operations Research Analyst
Operations Research Analysts use their skills in mathematics, modeling, and optimization to solve business problems. The Predict Gas Guzzlers using a Neural Net Model on the MPG Data Set course would be a valuable addition to your resume, as it would demonstrate your proficiency in these skills. This course would be particularly helpful for those who wish to specialize in the field of operations management.

Reading list

We've selected 15 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Predict Gas Guzzlers using a Neural Net Model on the MPG Data Set.
Provides a comprehensive overview of neural networks and deep learning, including the mathematical foundations, different types of neural networks, and practical applications.
Covers practical aspects of deep learning, including how to build and train deep learning models in Python.
Provides a comprehensive overview of statistical learning, including supervised learning, unsupervised learning, and model selection.
Provides a probabilistic perspective on machine learning, covering topics such as Bayesian inference, graphical models, and Markov chain Monte Carlo.
Provides a comprehensive overview of neural networks, including different types of neural networks and their applications.
Provides a comprehensive overview of deep learning, including different types of deep learning models and their applications.
Provides a more algorithmic perspective on machine learning, covering topics such as supervised learning, unsupervised learning, and reinforcement learning.
Provides a practical introduction to Python programming, covering topics such as data manipulation, automation, and web scraping.
Provides a practical introduction to Python for data analysis, covering topics such as data cleaning, data manipulation, and data visualization.
Provides a practical introduction to R for data science, covering topics such as data cleaning, data manipulation, and data visualization.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to Predict Gas Guzzlers using a Neural Net Model on the MPG Data Set.
Handling Missing Values in R using tidyr
Tidy Messy Data using tidyr in R
Machine Learning: Predict Poisonous Mushrooms using a...
Data Analytics: Scraping Data using Hadley Wickam's...
Joining Data in R using dplyr
Customer Segmentation using K-Means Clustering in R
Predict Housing Prices in R on Boston Housing Data
Predict Diabetes with a Random Forest using R
Predict Ideal Diamonds over Good Diamonds using a Random...
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser