This is one of my first project with ML/AI. I built an AI capable of predicting the house prices in Italy.
Copy this repository on your machine.
git clone https://github.com/mlinmg/DNN-House-Price-Predictor.git
You can choose to either use the pre-trained model(deep_learning_model.h5) or to train one with your own. If you choose to do so, keep in mind that you have to follow the dasatet structure. with those command:
from keras.saving.save import load_model
# insert your data here
data = yourdata # In the format
# load the model
model = load_model('deep_learning_model.h5')
# make the prediction
y_pred = model.predict(insert)
# print the error and the result
print("The cost of the house is:" + str(y_pred))
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.