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Predict survival on the Titanic and get familiar with ML basics.

Home Page: https://www.kaggle.com/c/titanic

Jupyter Notebook 100.00%
survival-on-the-titanic basic-machine-learning basic-ml-project knn svm random-forest gridsearchcv cross-validation onehot-encoding jupiter-notebook kaggle-titanic kaggle-titanic-survival kaggle-dataset machine-learning first-project roc-auc-curve data-analysis data-analysis-python pytohn

kaggletitaniccompetition's Introduction

๐Ÿ›ณ KaggleTitanicCompetition

Exploratory data analysis for the Titanic: Machine Learning from Disaster dataset from Kaggle.com

Full Analysis : Jupyter Notebook

This is the legendary Titanic ML competition โ€“ the first challenge for me to dive into Machine Learning. I used machine learning to create a model that predicts which passengers survived the Titanic disaster.

Python Packages:

  • numpy
  • pandas
  • pickle
  • seaborn
  • sklearn
  • statistics

Classification Models Used:

  • k-Nearest Neighbours
  • Random Forests
  • Support Vector Machine

ROC Curve of my models:

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