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Exploratory analysis and modeling for Titanic Machine Learning from Disaster Kaggle competition

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Titanic-Machine-Learning from Disaster

Deepnote article

This is the first project out of my ten projects journey to learn data science and machine learning. The objectives of this project are:

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  • Learn about classification
  • Learn about data engineering
  • Learn about decision trees

This project includes:

  • Exploratory analysis
    1. Variables study
    2. Data cleaning
    3. Feature engineering
    4. Correlation study
    5. Target Variable Analysis (Univariate Analysis)
    6. Multivariate analysis
  • Modeling, evaluation & ensambling
    1. Machine learning models
    2. K-fold cross validation
    3. Feature importance
    4. Hyperparameter Tuning

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Exploratory analysis and modeling for Titanic Machine Learning from Disaster Kaggle competition

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