11_titanic.md

Class 11 Exercise: Predicting Survival on the Titanic

This assignment uses data from Kaggle's Titanic competition. titanic.csv is in the repo, so there is no need to download the data from the Kaggle website.

Tasks:

1. Read titanic.csv into a DataFrame.
2. Define Pclass and Parch as the features, and Survived as the response.
3. Split the data into training and testing sets.
4. Fit a logistic regression model and examine the coefficients to confirm that they make intuitive sense.
5. Make predictions on the testing set and calculate the accuracy.
6. Bonus: Compare your testing accuracy to the "null accuracy", a term we've seen once before.
7. Bonus: Add Age as a feature, and calculate the testing accuracy. There will be a small issue you'll have to deal with.