prakriti42 / TITANIE

This repository consists of a ML model built on the classic Titanic Dataset.

TITANIE

Titanie is a ML model built to predict the survival rate of a passenger on the titanic.

Libraries Used

1. Pandas
2. Numpy
3. Matplotlib
4. Seaborn
5. Decision Tree Classifier
6. Sci-kit Learn

Dataset Used

The dataset was fetched from kaggle. It was then explored using various EDA principles and also pre-processed for refinement.

EDA on Dataset

Given the massive influence of data on building any AI model, the dataset was first analyzed and pre-processed before fitting it into the AI model for training. The entire refinement can be viewed in the the python notebook. View EDA on Titanic Dataset.

CART Classifier Model

After the sucessfull refinement of the dataset, the pre-procesed data was saved as ReadyToTrain.csv and used to build the CART Model.