ML Project ,XGboost .Logistic Regression as classification,Decision Tree & balancing technique Undersampling & SMOTE.
Regression models determining the socioeconomic factors impacting "Generosity" within a given country
A/B testing impact of progression system changes on player retention / interaction. Non-parametric hypothesis testing and power transformations for non-normally distributed data.
Cluster analysis of population based on demographic and health data. Clusters then used to determine which have a higher instance of diabetes.
Fitting a support vector classifier to the Kepler Exoplanet Search data set.
Underwater Minesweeper : Mine Classification Using SONAR Data
Power Transformer works best on linear model and The Power Transformer actually automates this decision making by introducing a parameter called lambda. It decides on a generalized power transform by finding the best value of lambda
Who Are Your Real Customers? RFM Modelling & K-Means Reveal the Answer.
Yeo-Johnson transformed distributions in PyTorch
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