Tag: Regression Analysis

Math Heavy Topics in Data Science!￼
1. Supportvector machine Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples to one category or the other, making it a nonprobabilistic binary linear classifier (although methods such as Platt scaling exist to use SVM in a probabilistic […]

Analyzing Diabetes Patterns amongst Indians, A Beginner’s Guide to Pearson’s Correlation Coefficient, Deep Learning in Cyber Security & Much More!
1. Juicing out the Diabetes Patterns amongst Indians using Machine Learning The data indicates an increase of 266% in the population of diabetics is going to be witnessed by developing countries. The score of the training model was a magnificent 100% which means it classified all the elements correctly as is evident as a result […]

Resources to learn Linear Regression
Linear regression shows the linear relationship between the independent(predictor) variable i.e.Linear regression is a quiet and the simplest statistical regression method used for predictive analysis in machine learning. How a Math equation is used in building a Linear Regression model? Do you know that this one equation helps in building a linear regression model in the machine learning world? Yes, you heard it right.From the school days, we have come across the equation of the straight line.

Logistic Regression in Machine Learning (from Scratch !!)
Introduction In this blog post, I would like to continue my series on “building from scratch.” I will discuss a linear classifier called Logistic Regression. This blog post covers the following topics, Basics of a classifier Decision Boundaries Maximum Likelihood Principle Logistic Regression Equation Logistic Regression Cost Function Gradient Descent Algorithm After the discussion of […]

Linear Regression in Machine Learning (from Scratch !!)
Introduction In this post, I will talk about one of the most crucial techniques in Regression Analysis/Machine Learning, called Linear Regression. As per Wikipedia, Regression Analysis is defined as a set of statistical processes used to estimate the strength of the relationship between a dependent variable and an independent variable. The process which tries to […]