Sharayu RaneNavigating the cloud options for application deploymentDeploying server applications needs virtualization, and Virtual Machines (VMs) and Containers provide a medium to do the same…Dec 4, 2019Dec 4, 2019
Sharayu RaneinTowards Data ScienceCatBoost DemystifiedGradient boosting algorithms have become bread and butter in almost all the ML competitions and also in real projects. CatBoost is one of…Sep 14, 2019Sep 14, 2019
Sharayu RaneinTowards Data ScienceImportance of data visualization to derive actionable insightsData visualization is not itself about insight, but rather, about communicating insight.Jul 29, 2019Jul 29, 2019
Sharayu RaneinTowards Data ScienceSHAP: A reliable way to analyze your model interpretabilityI had started this series of blogs on Explainable AI with 1st understanding what’s the balance between accuracy vs interpretability, then…Jul 28, 20199Jul 28, 20199
Sharayu RaneinTowards Data ScienceLIME: Explaining predictions of machine learning models (1/2)In my previous blog I had mentioned the following rudimentary techniques to understand model predictions.Jul 11, 20191Jul 11, 20191
Sharayu RaneinTowards Data ScienceUnderstanding the basics of Data ScienceIn this blog I will be covering the basics that one should know before attempting any kind of a data science problem. I think before…Jun 30, 2019Jun 30, 2019
Sharayu RaneinTowards Data ScienceInterpreting machine learning modelsCan we understand what really happens inside machine learning models?Jun 29, 20193Jun 29, 20193
Sharayu RaneinTowards Data ScienceThe balance: Accuracy vs. InterpretabilityHow many times have you struggled to implement a high performing algorithm with interpretability as high as that in regression models? I…Dec 3, 20181Dec 3, 20181