Python

Titanic - Machine Learning from Disaster Contest | 04/2023

• Developed a machine learning model to predict survival on the Titanic using Python and scikit-learn.

• Preprocessed and cleaned the Titanic dataset by removing irrelevant columns, filling missing values, and encoding categorical variables.

• Trained a Linear Regression model on the preprocessed Titanic training data with an accuracy of 76%, and made predictions on the test data.

• Submitted the predictions to the Kaggle competition and achieved a score of 0.76555