data-science
machine-learning
naive-bayes
sklearn
naive-bayes-classifier
scipy
data-analysis
hyperopt
tttest
ttest
comet-ml
wilcoxon
skillfactory
optuna
shapiro
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Updated
Nov 13, 2022 - Jupyter Notebook
Comparison of A/B Test and Conversion of Bidding Methods
This project explores the Framingham Heart disease dataset with the objective to predict its risk in 10 years. Various methods for handling missing values and outliers are explored as iterations. After analysing the dataset, important and necessary features are selected. Seven ML models are implemented, with evaluation on the basis of Test Recall.
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