Coursera Project Network
Mining Quality Prediction Using Machine & Deep Learning
Coursera Project Network

Mining Quality Prediction Using Machine & Deep Learning

Ryan Ahmed

Instructor: Ryan Ahmed

5,302 already enrolled

Included with Coursera Plus

Learn, practice, and apply job-ready skills with expert guidance
4.8

(64 reviews)

Beginner level

Recommended experience

1.5 hours
Learn at your own pace
Hands-on learning
Learn, practice, and apply job-ready skills with expert guidance
4.8

(64 reviews)

Beginner level

Recommended experience

1.5 hours
Learn at your own pace
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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Taught in English
No downloads or installation required

Only available on desktop

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 (10 min)

  2. Import Libraries/Datasets and Perform Data Exploration (7 min)

  3. Perform Data Visualization (8 min)

  4. Prepare the data before model training (6 min)

  5. Train and Evaluate a Linear Regression Model (10 min)

  6. Train and Evaluate Decision Trees & Random Forest Regressors (8 min)

  7. Understand the Theory and Intuition Behind ANNs (11 min)

  8. Train an Artificial Neural Network Model to Perform Regression (11 min)

  9. Calculate Regression KPIs (7 min)

Recommended experience

Basic python programming and mathematics

9 project images

Instructor

Ryan Ahmed
Coursera Project Network
38 Courses85,004 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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Learner reviews

Showing 3 of 64

4.8

64 reviews

  • 5 stars

    81.25%

  • 4 stars

    17.18%

  • 3 stars

    1.56%

  • 2 stars

    0%

  • 1 star

    0%

MA
5

Reviewed on Aug 31, 2021

AS
4

Reviewed on Sep 29, 2020

FD
5

Reviewed on Jul 26, 2022

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