Imbalance Class is one of the most discussed problems in data science. This article will provide examples of some of the commonly used techniques to deal with imbalance class in data set problems Read More

Many times, I have seen data science professionals who know very well what is p-values but they struggle to explain it. I have also seen many professionals who don’t want to get into technical details but want to know more and understand why it is so important. Read More

Clustering is bringing together a group of similar things or objects and silhouette is an important factor that helps in selecting the number of clusters. It is measured within the range [-1,1]. Silhouette coefficients close to +1 suggest the sample is distant from the neighboring clusters. A value ... Read More

t-SNE is a powerful algorithm that reduces the dimentions in high dimension data to enable visualizing the data via scatter plots, histograms, or boxplot which allow for a quick understanding of the patterns of the data Read More

The NLP Transformer is a novel architecture intended to solve sequence-to-sequence tasks while managing long-range dependencies. Capturing relationships in sentences and the sequence of words as such is vital for a machine to understand a natural language. That is vital role of transformers in Natur... Read More