Param SarafWhy you should never remove outliers from your data?(Explained with an analogy of parenthood)2 min read·Jul 8, 2022----
Param SarafScience 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…2 min read·Jan 15, 2022--1--1
Param SarafOOPS 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…2 min read·Nov 27, 2021----
Param SarafUsing 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…1 min read·Mar 24, 2021----
Param SarafHow 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…1 min read·Mar 8, 2021----
Param SarafAdversarial 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…2 min read·Feb 26, 2021----
Param SarafAI/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…2 min read·Oct 26, 2020----
Param SarafTransformers for Time-SeriesForecasting still remains to be dominated by Statistical techniques like ARIMA, SARIMA, etc. due to their ease of use and interpretation…2 min read·Oct 20, 2020----