This is a kaggle competition project. The goal is to find the best model for predicting wether titanic passenger survived the catastrophe. For this task I have cleaned and preprocessed the data and then used Logistic Regression Classifier and Random Forest Classifier to model and predict survivability.
To view this project online you can either do it here on github by clicking
on titanic_survival_prediction.ipynb, using NBViewer or on my portfolio website
To run this project you will need an environment. Do not worry as I have created a .yml file
to instantly create a conda environment. All you need to do is run the following script
in your terminal/PowerShell. Obviously you need to install conda prior to environment creation.
git clone https://www.github.com/f1lem0n/titanic.git
cd titanic
conda env create -f conda-env.yml -y
conda activate titanic