Often, we need to monitor that crucial graph for every day stats so that business is not loosing money. Often, business doesn't have patience to login to reporting tool or follow up on emails on the fix. So why not get that graph directly into a slack channel for everyone…

We always aim to reduce the generalization error of a classification model. Generalization error gives the idea that how well the model do on unseen data. But even after getting the lowest generalization error or highest accuracy, how confident are we that it shall hold on new/unseen data? A confidence…

I came across a dataset consisting slogans of various company's on kaggle. Rather than watching a movie I thought to distract myself with this dataset. I tried running sentiment analysis of slogans to find something interesting. As a ritual after performing some data quality checks, I found out that a…

This article explain various window models for keeping relevant data from continuous stream of data. Let’s assume we have a stream of tweets coming for a particular hashtag. Initially there were 2 clusters based on emotions, positive and negative we could map the tweets to. However, as the tweets are…

This article is a little demonstration of Bisecting K-means. We all are familiar with K-means, let’s see what Bisecting the data does. So, the infamous problem of centroid initialization in K-means has many solutions, one of them is bisecting the data points. As the main goal of the K-means algorithm…