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Kaggle Account

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Hello,  I have completed a Decision Tree Classifier Model for the famous Titanic Data set on Kaggle.  Background: Several attributes of the passengers on the titanic were collected such as: the class of their cabin, where they embarked from, and whether or not they had siblings aboard the ship.  Task: Choose which attributes most contributed to their survival and use those attributes to create a data model that predict whether or not a passenger would survive. Click here to View it Steps: 1. View the Data 2. Clean the data (for numeric columns I filled null values with the median and assigned dummy variables to categorical columns.) 3. Split the Data into a Training Set and a Test set. 4. Use a Decision Tree Classifier and train it with the Training Set. 5. Test the model's accuracy on the test set and get the score. 6. If the score is unsatisfactory, repeat step 2 until more refined. 7. Use the test set on the sample data given and upload the results into Kaggle. https:/...
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Machine Learning Example Code

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