A 2 minute read on sequence processing functions for clean programming. Map, filter, reduce and zip are sequence processing functions, heavily used in functional programming. This saves you from writing an explicit loop like while or for. The map and filter function each apply some function to a sequence to…

This is a two-part article on Ensemble Learning. The first part is linked here. This article is going to focus on the algorithm based on Bagging and Boosting Algorithms based on Bagging Bagging or Bootstrap Aggeregation is an ensmeble technique where the goal is to reduce the variance of a decision trees. The idea…

Complete guide to all the regressions, Ridge, Lasso and Elastic Net Regression Linear Regression Linear regression is the simplest and most widely used statistical technique for predictive modeling. It basically gives us an equation, where we have our features as independent variables, on which our target variable is dependent upon. Here Y…

Ensemble Modelling is a great way to improve the performance of a model. It uses multiple models for the prediction. This is a two-part post, Part 2 will be uploaded soon. What is Ensemble Learning? Basically, an ensemble is a supervised learning technique for combining multiple weak learners or models to produce a strong…

These are few basic terminologies for Population — Population is any large collection of objects or data e.g Students, Cars, etc. about which information is desired Parameter — it is any summary number or metric e.g. median, mean, percentage, etc that describes any Population Sample — a sample is a representative group of a Population Statistic — it is any summary number or metric e.g. median, mean, percentage, etc that describes any Sample