Coursera Project Network
Machine/Deep Learning for Mining Quality Prediction-Enhanced
Coursera Project Network

Machine/Deep Learning for Mining Quality Prediction-Enhanced

Taught in English

Ryan Ahmed

Instructor: Ryan Ahmed

Included with Coursera Plus

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Beginner level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

What you'll learn

  • Train Artificial Neural Network models to perform regression tasks

  • Understand the theory and intuition behind regression models and train them in Scikit Learn

  • Understand the difference between various regression models KPIs such as MSE, RMSE, MAE, R2, adjusted R2

Details to know

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Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Beginner level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

See how employees at top companies are mastering in-demand skills

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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
  • Build confidence using the latest tools and technologies
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About this Guided Project

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Understand the Problem Statement and Business Case

  2. Practice Opportunity #1 [Optional]

  3. Import Libraries/Datasets and Perform Data Exploration

  4. Practice Opportunity #2 [Optional]

  5. Perform Data Visualization

  6. Practice Opportunity #3 [Optional]

  7. Prepare the Data for Model Training

  8. Train and Evaluate a Linear Regression Model

  9. Train and Evaluate a Decision Tree and Random Forest

  10. Practice Opportunity #4 [Optional]

  11. Understand the Theory and Intuition Behind Artificial Neural Networks

  12. Train an Artificial Neural Network to Perform Regression Tasks

  13. Practice Opportunity #5 [Optional]

  14. Compare Models and Calculate Regression KPIs

  15. Capstone Final Project

Recommended experience

basic python programming

15 project images

Instructor

Ryan Ahmed
Coursera Project Network
60 Courses114,059 learners

Offered by

How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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