Titanic Dataset

This is a dataset available on Kaggle.

You all can access the Dataset in CSV format at the site. Click here to directly go to the Dataset.

The dataset is available in the files section of this repository too! Don't forget to keep the .ipynb file and .csv file in same folder.

Requirements:

The requirement for this Project is just a system (with any OS), with Python, and Jupyter Notebook or Jupyter-Lab must be installed in it.

You can also use VS Code or any other platform for Jupyter

Installing the Jupyter Notebook:

You can install Jupyter in 2 ways. They are as follows:

Installing the Classic Jupyter Notebook:-

If you are using Windows, then use the following command in your Command Prompt or Windows Powershell:

pip install jupyter notebook

For Anaconda users, type the following command in your Anaconda Prompt:

conda install jupyter notebook

The Anaconda users needn't install the Classic Jupyter Notebook as Jupyter Notebook comes pre-installed with the Anaconda Packages.

For Mamba users, type this command:

mamba install jupyter notebook

Installing the Jupyter-Lab:-

If you are using Windows, then use the following command in your Command Prompt or Windows Powershell:

pip install jupyterlab

For Anaconda users, type the following command in your Anaconda Prompt:

conda install jupyterlab

For Mamba users, type this command:

mamba install jupyterlab

##Installing and importing Modules: We would be using Pandas for cleaning the data and processing it.

You can install Pandas by the following command:

pip install pandas

For importing the modules, use the following command in your notebook:

import pandas as pd

You can import a dataset into any variable, say df, by the following command:

df = pd.read_csv("Name of the CSV file.csv)

NOTE:- The dataset should be in CSV Format. For excel, you can use pd.read_excel command. Just for importing excel, you would have to install some more packages that would be mentioned in the notebook.

I have written pd here because we have imported the pandas module in the name of pd

File:

Click here to access the .ipynb file.

Further readings:

Click here if you want to know more about the installation of Jupyter Notebook.

You can use the Google Colaboratory, is you want an alternative to Jupyter Notebook.

For Jupyter Notebook, Visual Studio Code is also a good alternative.

All the Best 👍