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Data Science project to predict whether a passenger was transported to an alternate dimension during the Spaceship Titanic's collision with the spacetime anomaly

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🚀 Spaceship Titanic Data Science Project

By Juan Manuel González Kapnik. Dataset and tasks were taken from Kaggle

📋 Table of contents

  1. Proyect Description
  2. Software Description
  3. License
  4. Contact me

🌌 Project Description

In this project my task was to predict whether a passenger was transported to an alternate dimension during the Spaceship Titanic's collision with the spacetime anomaly. To help me make these predictions, I had a set of personal records recovered from the ship's damaged computer system. For making this, I divided the project into 5 parts:

First part. Data analysis

We looked for missing values, cardinalities. We made graphs of different distributions and from that, we generated new categories.

Second part. Pre-processing of the data

Missing values management and feature encoding for the third part.

Third part. Model construction

The first algorithms were built for statistical purposes to verify those with better performance.

Fourth part. Choice of Hyper Parameters

For the best models, some parameters were adjusted manually.

Part 5. Test Set Prediction

Generation of the prediction and brief observation.

☄️ Software Description

  • Jupyter Lab - Web interactive enviroment
  • Jupyter Notebook - Python enviroment
  • Python3 - Programming language
  • Libraries:
    • Pandas
    • Numpy
    • Matplotlib
    • Seaborn
    • Missingno
    • Sklearn
    • Xgboost
    • Catboost

✒️ License

Spaceship Titanic is licensed under the GNU General Public License v3.0

🙋🏻‍♂️ Contact me

E-mail: juanmanuelgonzalezkapnik@gmail.com

Discord: justjuanma

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Data Science project to predict whether a passenger was transported to an alternate dimension during the Spaceship Titanic's collision with the spacetime anomaly

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