Titanic Classification : Make a system which tells whether the person will be save from sinking. Key Features: Here,
Data Preprocessing is done i;e handle missing values, encode categorical features, and prepare the data for machine learning. Model Building: Utilize a Random Forest Classifier & decision tree classifier to train the prediction model on the labeled training dataset. Model Evaluation: Evaluate the model's performance using accuracy percent. Visualization: Explore survival trends based on different factors using interactive and informative plots. Predictions: Generate predictions for the test dataset Insights: Gain valuable insights into the factors that might have influenced survival during the Titanic disaster