Alvira SwalininTowards Data ScienceDeep dive into Catboost functionalities for model interpretationDo we really understand what happens inside ML models we build? Let’s explore.8 min read·Jun 24, 2019--4--4
Alvira SwalininHeartbeatHow to Make Your Machine Learning Models Robust to Outliers“So unexpected was the hole that for several years computers analyzing ozone data had systematically thrown out the readings that should…10 min read·May 31, 2018--9--9
Alvira SwalininTowards Data ScienceBuilding a Question-Answering System from Scratch— Part 1First part of the series focusses on Facebook Sentence Embedding9 min read·May 23, 2018--27--27
Alvira SwalininUSF-Data ScienceChoosing the Right Metric for Evaluating Machine Learning Models — Part 2Second part of the series focussing on classification metrics·8 min read·May 2, 2018--25--25
Alvira SwalininUSF-Data ScienceChoosing the Right Metric for Evaluating Machine Learning Models — Part 1First part of the series focussing on Regression Metrics·9 min read·Apr 7, 2018--11--11
Alvira SwalininTowards Data ScienceCatBoost vs. Light GBM vs. XGBoostWho is going to win this war of predictions and on what cost? Let’s explore.·8 min read·Mar 13, 2018--35--35
Alvira SwalininTowards Data ScienceHow to get more likes on your blogs (1/2)Unravelling the mystery of claps on medium blogs using data analytics5 min read·Feb 12, 2018--5--5
Alvira SwalininTowards Data ScienceHow to Handle Missing Data“The idea of imputation is both seductive and dangerous” (R.J.A Little & D.B. Rubin)·8 min read·Jan 31, 2018--33--33