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Titanic Data Analysis with Python by Saloni Tuli is a document available to read on EtoBox.
What is Titanic Data Analysis with Python about?
The document discusses code to implement various machine learning algorithms using a titanic dataset. It includes code to: 1) Load and explore the dataset using pandas functions like head(), tail(), and info(). It also creates a heatmap and pairplot. 2) Implement linear and logistic regression models for classification and regression tasks. It evaluates the models and plots the results. 3) Build a naive Bayes classifier and computes the accuracy on test data. 4) Apply k-nearest neighbors and support
- Author
- Saloni Tuli
- Language
- EN