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This is a tutorial in an IPython Notebook for the Kaggle competition, Titanic Machine Learning From Disaster. The goal of this repository is to provide an example of a competitive analysis for those interested in getting into the field of data analytics or using python for Kaggle's Data Science competitions .

License: Apache License 2.0

Python 2.76% Jupyter Notebook 97.24%
python3 matplotlib-pyplot numpy pandas statsmodels patsy sklearn-library

kaggle-titanic-machine-learning-from-disaster's Introduction

Hi ๐Ÿ‘‹, I'm Qusai

A passionate Student | Data-science enthusiast | A Full stack Web Developer ๐Ÿ‘จโ€๐Ÿ’ป |

qusaionali

  • ๐Ÿ”ญ Iโ€™m currently working on some cool projects.

  • ๐ŸŒฑ Iโ€™m currently learning everything ๐Ÿคฃ

  • ๐Ÿ‘ฏ Iโ€™m looking to collaborate on Data Science Projects.

  • ๐Ÿ‘จโ€๐Ÿ’ป All of my projects are available at https://github.com/qusaionali

  • ๐Ÿ“ I regulary write articles on https://qdecodes.wordpress.com/

  • ๐Ÿ’ฌ Ask me about Web Dev. | Info. Sec. | Data Science

  • ๐Ÿ“ซ How to reach me? [email protected]

  • โšก Fun fact I love to Read and Travel.

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bootstrap c css3 django express git html5 java javascript linux mongodb mysql nodejs opencv php python react tensorflow


qusaionali

qusaionali

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qusaiq1 https://www.linkedin.com/in/qusai-onali-9a4705129/ qusaionali _naughtynuclei @fqonali

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