Predicting Compressive Strength of Concrete | Featurization | Model Selection | Tuning

Briit
Total Data Science
Published in
2 min readAug 29, 2020

In this machine learning project, we will dive into the cement manufacturing industry. We will be predicting the compressive strength of concrete with as many as 18+ different algorithms by doing feature engineering, model tuning, and selection to get the best model.

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Before we start, please note that this tutorial is part of the The Full Stack Data Scientist, which is a practical hands-on data science tutorial for anyone to learn data science right from the basics to advance by building projects and great Data Science Portfolio. Feel free to check it out.

In order for you to make the best out of this tutorial, I have put this tutorial in the form of a video for better understanding

Watch and practice along

INTRODUCTION

PART 1

PART 2

PART 3

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Predicting Compressive Strength of Concrete | Featurization | Model Selection | Tuning

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Briit
Total Data Science

Data Science | Artificial Intelligence | Machine Learning