GitHub - ElinahMoyo/Deep-Learning

In this project, i built a regression model using the Keras library to model data about concrete compressive strength.

The Dataset is about STRENGTH of different samples of CONCRETE based on the volumes of the different features/predictors that were used to make them.

the predictors in the data of concrete strength include:

Cement

Blast Furnace Slag

Fly Ash

Water

Superplasticizer

Coarse Aggregate

Fine Aggregate

i experimented with increasing the number of training epochs and changing number of hidden layers to see how changing these parameters impacts the performance of the model.

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
.ipynb_checkpoints		.ipynb_checkpoints
dataset		dataset
.gitignore		.gitignore
Elinah's Deep learning model Part A-Copy1.ipynb		Elinah's Deep learning model Part A-Copy1.ipynb
Elinah's Deep learning model Part D.ipynb		Elinah's Deep learning model Part D.ipynb
Elinah's Deep learning model Best results.ipynb		Elinah's Deep learning model Best results.ipynb
README.md		README.md
regression_with_keras.ipynb		regression_with_keras.ipynb

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