In this jupyter notebook, We have tried to build a simple LogisticRegression model to predict survival rate from Titanic dataset.
In ML, at first we prepare the dataset. Here we replace the missing values with 'NaN', and drop unnecessary predictive features/variables.
To build, train and develop a ML model, the most important part is to analyse the dataset.