Any organisation needs talented, hardworking and skilled employees irrespective of department, business unit or a team. But finding and nurturing such talent can be challenging… Read More »Hiring the right data scientist for the organisation
Introduction: When dealing with building machine learning models, Data scientists spend most of the time on 2 main tasks when building machine learning models Pre-processing… Read More »Building machine learning models in Apache Spark using SCALA in 6 steps
Outliers is one of those issues we come across almost every day in a machine learning modelling. Wikipedia defines outliers as “an observation point that… Read More »Is it ‘always’ necessary to treat outliers in a machine learning model?
Consider a problem where you are working on a machine learning classification problem. You get an accuracy of 98% and you are very happy. But… Read More »Handling imbalanced dataset in supervised learning using family of SMOTE algorithm.
Any time series classification or regression forecasting involves the Y prediction at ‘t+n’ given the X and Y information available till time T. Obviously no… Read More »Avoiding Look Ahead Bias in Time Series Modelling