Demystification of Logistic Regression
Overview Understand the limitations of linear regression for a classification problem, the dynamics, and mathematics behind logistic regression. Understand how GLM is used for …
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The Complete Guide to Checking Account Churn Prediction in BFSI Domain
This article was published as a part of the Data Science Blogathon. Table of Contents What is a Checking Account & Its importance to …
Introduction to Logistic Regression – The Most Common Classification Algorithm
This article was published as a part of the Data Science Blogathon. Introduction “I’m a bit of a freak for evidence-based analysis. I strongly …
Plotting Decision Surface for Classification Machine Learning Algorithms
Overview Machine Learning algorithms for classification involve learning how to assign classes to observations. There are nuances to every algorithm. Each algorithm differs in …
Machine Learning using C++: A Beginner’s Guide to Linear and Logistic Regression
Why C++ for Machine Learning? The applications of machine learning transcend boundaries and industries so why should we let tools and languages hold us …
Commonly used Machine Learning Algorithms (with Python and R Codes)
Note: This article was originally published on August 10, 2015 and updated on Sept 9th, 2017 Overview Major focus on commonly used machine learning …
30 Questions to test your understanding of Logistic Regression
Introduction Logistic Regression is likely the most commonly used algorithm for solving all classification problems. It is also one of the first methods people …
Solutions for Skilltest Machine Learning : Revealed
Introduction Automation and Intelligence has always been a driving force for technological advancements. Techniques like machine learning enable these advancements in every domain possible. …
Practicing Machine Learning Techniques in R with MLR Package
Introduction In R, we often use multiple packages for doing various machine learning tasks. For example: we impute missing value using one package, then build a …
Practical Guide on Data Preprocessing in Python using Scikit Learn
Introduction This article primarily focuses on data pre-processing techniques in python. Learning algorithms have affinity towards certain data types on which they perform incredibly well. …
