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kaggle_titanic's Introduction

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kaggle titanic

How it works?

It's very simple: here are the solutions for the titanic competition

Order of preparation and work

  1. Clone the repository or download the archive from github or using the following commands on the command line

    $cmd
    $ git clone https://github.com/BEPb/kaggle_titanic
    $ cd kaggle_titanic
  2. Create a Python virtual environment.

  3. Install all necessary packages for our code to work using the following command:

    pip install -r requirements.txt
    
  4. file list

  • data - directory with data files
  • data/titanic.zip - archive of the initial tabular data of the competition (3 files)
  • data/gender_submission.csv - one of the original data files
  • data/test.csv - one of the original data files
  • data/train.csv - one of the original data files
  • notebooks - directory with jupiter notebooks
  • notebooks/eda_and_analysis - directory with notebooks food and data analysis
  • notebooks/eda_and_analysis/titanic_universal_eda.ipynb - universal food notebook
  • notebooks/eda_and_analysis/titanic_eda.ipynb - food notebook
  • notebooks/solutions - directory with notebook solutions
  • python_code - directory with python code solutions
  1. Well, as a result of the training, I wrote a console application that, based on the model, predicts whether the passenger whose data you enter in the fields will survive or not.
    • python_code/Titanic_gui.py

prediction for my data, let's say I'm traveling first class with my family: Gui logo

prediction for data from a set:

Gui logo

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