Why you should never remove outliers from your data?(Explained with an analogy of parenthood)Jul 8, 2022Jul 8, 2022
Science and Music🎶🎼🎸Music and Science: It can’t be a mere coincidence that some of the greatest minds in Science (even Data Science) have an inclination…Jan 15, 20221Jan 15, 20221
OOPS I deleted it Again !!!It’s Friday night and you started Training your Deep Learning Model. You spent your Weekends checking the Model progress and BAM !!! its…Nov 27, 2021Nov 27, 2021
Using Text Features along with Categorical and Numerical FeaturesFirst Approach: 1. Use TFIDF and add all the new tfidf tokens (or columns) as new features to your existing feature set and then create…Mar 24, 2021Mar 24, 2021
How to create ‘Data Science Portfolio’⭐Using Github Pages & Jekyll⭐ 1. Use Github pages to host your site for free alongside your GitHub repo with your custom URL 2. Use Github…Mar 8, 2021Mar 8, 2021
Adversarial Validation SimplifiedThis technique comes in handy in a lot of situations specifically when the model performance on test data doesn’t match that on validation…Feb 26, 2021Feb 26, 2021
AI/Deep Learning: No more BlackBoxDeep Learning is defamed for its Black-Box nature, meaning one can’t get an easy explanation about the model and its features, which one…Oct 26, 2020Oct 26, 2020
Transformers for Time-SeriesForecasting still remains to be dominated by Statistical techniques like ARIMA, SARIMA, etc. due to their ease of use and interpretation…Oct 20, 2020Oct 20, 2020
