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Mining Quality Prediction Using Machine & Deep Learning

In this 1.5-hour long project-based course, you will be able to: - Understand the theory and intuition behind Simple and Multiple Linear Regression. - Import Key python libraries, datasets and perform data visualization - Perform exploratory data analysis and standardize the training and testing data. - Train and Evaluate different regression models using Sci-kit Learn library. - Build and train an Artificial Neural Network to perform regression. - Understand the difference between various regression models KPIs such as MSE, RMSE, MAE, R2, and adjusted R2. - Assess the performance of regression models and visualize the performance of the best model using various KPIs.

Status: Applied Machine Learning
Status: Model Evaluation
BeginnerGuided Project2 hours

Featured reviews

AS

Reviewed Sep 29, 2020

You must try, it will give great basic of practice.

FD

Reviewed Jul 26, 2022

Excellent guided project. Falls in field of experience. Thank you.

MA

Reviewed Aug 31, 2021

R​yan did an excellent job explaining the concepts and going through the excercises. I would recommend this course definitely.

All reviews

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Alnie
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Reviewed Oct 3, 2020
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Reviewed Sep 1, 2021
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Reviewed Aug 9, 2020
Ahmad
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Reviewed Sep 30, 2020