Back to all projects
Machine Learning

Titanic Survival Prediction

Predicting passenger survival using the Naive Bayes algorithm.

View on GitHub
Titanic Survival Prediction screenshot

Project Overview

A probability-based approach to predict survival based on factors like class, sex, and age.

Technologies Used

PythonNaive BayesPandas

Methodology

  1. 1Handling missing values in the Titanic dataset.
  2. 2Categorical to numerical conversion.
  3. 3Naive Bayes model implementation.
  4. 4Accuracy check using cross-validation.

More in Machine Learning

Advertisement Sale Prediction

Predicting if an existing customer will buy a product using Logistic Regression.

Salary Estimation

Estimating salary levels using the K-Nearest Neighbors (KNN) algorithm.

Leaf Species Detection

Classifying leaf images using Decision Tree algorithms.