Random Forest Regressor with Scikit Learn for Heart Disease Prediction

Warm Up: Machine Learning with a Heart HOSTED BY DRIVENDATA

I used a Random Forest Regressor from Scikit Learn to predict if a given patient has a heart disease

I originallt used a Feedforward Neural Network but the Random Forest Regressor had a better log loss as can be seen in the model file.

-- Link to the competetion: https://www.drivendata.org/competitions/54/machine-learning-with-a-heart/

• Numpy
• Matplotlib(IF YOU WANT TO display trends, I put a # on them to help with processing speed)
• Scikit Learn
• Keras
• Tensorflow
• Math
• Pandas

• Import dependencies
• Load Training Features Data
• Turn data into a pandas data frame and Display
• Replace the strings in thal column with corresponding numbers
• Turn features into numpy arrays
• Check shape
• Split the model
• Define the Model
• Fit and train
• Let's Evaluate Our Model with the loss function and accuracy