| marp | true |
|---|
Predicting Titanic Survivors
What types of classification have we learned about?
What tools have we learned about?
What metrics have we learned for evaluation classification models?
What other useful techniques have we learned? What are they used for?
| Column | Type | Description |
|---|---|---|
| Survived | number | 1 or 0 (target) |
| Name | string | Passenger name |
| Pclass | number | Ticket class |
| Sex | string | male or female |
| Age | number | Passenger age |
| SibSp | number | # of siblings/spouses on board |
| embarked | string | Port of Embarkation |
Titanic: Machine Learning from Disaster
- Exploratory Data Analysis (including pros and cons of using ML)
- The Model
- Make Predictions and Upload To Kaggle
- Iterate on Your Model
