Osman MamuninTowards Data ScienceA Primer to Bayesian Additive Regression Tree with RMay 3, 20211May 3, 20211
Osman MamuninTowards Data ScienceIntegrate Pipeline into Scikit-Learn’s Hyperparameter SearchPipeline’s are a very popular tool to streamline machine learning experimentation. With the scikit-learn’s fit and predict method, machine…Dec 29, 2020Dec 29, 2020
Osman MamuninTowards Data ScienceHyperparameter Optimization in Gradient Boosting Packages with Bayesian OptimizationGradient Boosting is an ensemble based machine learning algorithm, first proposed by Jerome H. Friedman in a paper titled Greedy Function…Dec 20, 20202Dec 20, 20202
Osman MamuninTowards Data ScienceModel Averaging: A Robust Way to Deal with Model UncertaintyAn introduction to model averaging for making machine learning prediction less sensitive to model conditioning on poor data.Dec 7, 20191Dec 7, 20191
Osman MamuninTowards Data ScienceBayesian Model Selection: As A Feature Reduction TechniqueA gentle introduction to application of Bayesian Model Selection to identify important features for machine learning model generation.Dec 4, 20193Dec 4, 20193
Osman MamunPython Memoization for Expensive Computational Chemistry SimulationComputational chemistry simulation using quantum chemical computation are being used to explain and discover new materials or to…Oct 25, 2019Oct 25, 2019