Sushmitha PulagaminTowards Data ScienceFeature Scaling — Effectively Choose Input Variables Based on DistributionsDemonstrating how to wisely choose the numerical variables for scaling which results in boosting the accuracy of the modelAug 1, 20203Aug 1, 20203
Sushmitha PulagaminTowards Data ScienceHow to choose between a Linear or Nonlinear Regression for your datasetGeneral guidelines to choose between Linear and Nonlinear regression to get a better fit and accuracy for your model.Jul 17, 20203Jul 17, 20203
Sushmitha PulagaminTowards Data ScienceTime Series forecasting using Auto ARIMA in pythonDemonstration on how to leverage Auto ARIMA functionality in python using ‘pmdarima’ package to forecast the futureJun 26, 20208Jun 26, 20208
Sushmitha PulagaminTowards Data ScienceAll you need to know about the PCA technique in machine learningA detailed explanation of the most widely used dimensionality reduction techniqueJun 15, 20203Jun 15, 20203
Sushmitha PulagaminTowards Data ScienceHow to detect and deal with MulticollinearityDetailed explanation on identifying and fixing multicollinearity for numerical variablesJun 6, 20202Jun 6, 20202
Sushmitha PulagaminTowards Data ScienceA Simplified approach using PyCaret for Anomaly DetectionExplaining outlier detection with PyCaret library in pythonMay 24, 2020May 24, 2020
Sushmitha PulagaminTowards Data ScienceStep by Step approach of deploying ML model on Cloud with AzureA detailed way of explaining how to deploy ML models with Flask app linking GitHub repo to AzureMay 17, 20202May 17, 20202
Sushmitha PulagaminThe StartupA Beginner’s Guide to Market Basket AnalysisSimple way to get insights for Marketing decisions.May 5, 2020May 5, 2020