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# Competition - predicting concrete strength

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## .mfe-app-workspace-kj242g{position:absolute;top:-8px;}.mfe-app-workspace-11ezf91{display:inline-block;}.mfe-app-workspace-11ezf91:hover .Anchor__copyLink{visibility:visible;}Can you predict the strength of concrete?

### 📖 Background

You work in the civil engineering department of a major university. You are part of a project testing the strength of concrete samples.

Concrete is the most widely used building material in the world. It is a mix of cement and water with gravel and sand. It can also include other materials like fly ash, blast furnace slag, and additives.

The compressive strength of concrete is a function of components and age, so your team is testing different combinations of ingredients at different time intervals.

The project leader asked you to find a simple way to estimate strength so that students can predict how a particular sample is expected to perform.

### 💾 The data

The team has already tested more than a thousand samples (source):

##### Compressive strength data:
• "cement" - Portland cement in kg/m3
• "slag" - Blast furnace slag in kg/m3
• "fly_ash" - Fly ash in kg/m3
• "water" - Water in liters/m3
• "superplasticizer" - Superplasticizer additive in kg/m3
• "coarse_aggregate" - Coarse aggregate (gravel) in kg/m3
• "fine_aggregate" - Fine aggregate (sand) in kg/m3
• "age" - Age of the sample in days
• "strength" - Concrete compressive strength in megapascals (MPa)

Acknowledgments: I-Cheng Yeh, "Modeling of strength of high-performance concrete using artificial neural networks," Cement and Concrete Research, Vol. 28, No. 12, pp. 1797-1808 (1998).

.mfe-app-workspace-11z5vno{font-family:JetBrainsMonoNL,Menlo,Monaco,'Courier New',monospace;font-size:13px;line-height:20px;}import pandas as pd
df.head()

### 💪 Challenge

Provide your project leader with a formula that estimates the compressive strength. Include:

1. The average strength of the concrete samples at 1, 7, 14, and 28 days of age.
2. The coefficients , ... , to use in the following formula:

### 🧑‍⚖️ Judging criteria

This is a community-based competition. The top 5 most upvoted entries will win.

The winners will receive DataCamp merchandise.

### ✅ Checklist before publishing

• Rename your workspace to make it descriptive of your work. N.B. you should leave the notebook name as notebook.ipynb.
• Remove redundant cells like the judging criteria, so the workbook is focused on your work.
• Check that all the cells run without error.

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