Topic: "random-forest-classifiers"
EgehanEralp/Automatic_DataAnalysis_and_FeatureImportances-withML
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.
Language: Python - Size: 7.81 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0
prakhargurawa/Titanic-Survival-Predictor
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.
Language: Jupyter Notebook - Size: 53.7 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
