SubhaBoosting — Adaboost, Gradient Boost and XGBoostWhen it comes to ensemble models, there are two major techniques — bagging and boosting. I have discussed about the bagging technique in…Mar 29Mar 29
SubhaDecision TreesDecision tree is one of the most popular non-parametric supervised machine leaning algorithm used for both classification and regression…Mar 21Mar 21
SubhaSupport Vector MachinesSupport Vector Machine is a highly powerful supervised learning algorithm which works best for smaller datasets but complex ones. SVM can…Mar 191Mar 191
SubhaLinear RegressionUntil now we have seen a bunch of classification algorithms and going forward too we will be looking into some more classification…Mar 13Mar 13
SubhaNaive Bayes AlgorithmNaive bayes is a probability based machine learning algorithm which is based on bayes theorem. The Niave Bayes classifier is a common…Mar 7Mar 7
Subha12 Important Performance Metrics that every data scientist must knowPerformance metrics is an essential part in machine learning to understand how well the model is performing. The key is to build a machine…Feb 275Feb 275
SubhaUnderstanding the Bias-Variance tradeoffUnderstanding bias and variance, which have roots in statistics, is essential for any data scientist. Bias and Variance are two fundamental…Feb 15Feb 15
SubhaHandling missing values in dataset — 7 methods that you need to knowWhile working with data it is a common scenario for the data scientists to deal with missing values. Handling these missing values could…Feb 132Feb 132