Published in Towards Data Science·Mar 8, 2021Intuition behind Central Limit TheoremCentral Limit Theorem (CLT) is one of the most fundamental concepts in the field of statistics. Without it, we would be wandering around in the real world with more problems than solutions. Its applications are bountiful — from parameter estimation to hypothesis testing, from the pharmaceutical industry to eCommerce businesses…Central Limit Theorem16 min readCentral Limit Theorem16 min read

Published in Towards Data Science·Dec 9, 2020Intuition behind ROC-AUC scoreIn Machine Learning, classification problem refers to predictive modeling where a class label needs to be predicted for a given observation (record/data point). For example, based on input features such as weather information (humidity, temperature, cloudy/sunny, wind speed, etc.) …Data Science10 min readData Science10 min read

Published in Towards Data Science·Nov 17, 2020Intuition behind Log-loss scoreIn Machine Learning, classification problem refers to predictive modeling where a class label needs to be predicted for a given observation (record). While the input data (features) comprise of either continuous or categorical variables, the output is always a categorical variable. For example, based on input features such as weather…Classification Metrics8 min readClassification Metrics8 min read