Program makes automatic data preparation for any given dataset, than generate models using Decision Tree and Random Forest Classifiers and finds out the feature’s importances. And runs on Flask-RESTful API.
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Updated
May 21, 2020 - Python
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random-forest-classifiers
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Trying to predict survival rate of passengers using algorithms like Logistic Regression, Ada Boost, Gradient Boost , Decision Tree Classifiers , Extra Tree Classifiers , Random Forest Classifiers and XG Boost with appropriate data preprocessing techniques.
python
machine-learning
scikit-learn
machine-learning-algorithms
python3
adaboost
feature-engineering
datapreprocessing
datapreparation
decision-tree-classifiers
xg-boost
extra-tree-classifiers
random-forest-classifiers
titanic-survival-predictor
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Updated
Nov 19, 2020 - Jupyter Notebook
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