Historically, organizations have mainly focused on structured data for any kind of visualization or analysis. Traditional systems and...

Machine learning is changing the way retailers do business!

Image source In this blog, you will understand why the Vanishing and Exploding Gradient problem happens. What are Vanishing and Exploding...

Image source In the process of building a Predictive Machine Learning model, we always come across some types of error, either with...

Linear regression is the one of the most known and understood algorithms in statistics and machine learning. What is a linear regression...

Decision Tree can be defined as a diagram or a chart that people use to determine a course of action or show a statistical probability.

There are many blog postings out there about linear regression that give a better understanding of some concepts. There are also some...

Simple linear regression is a statistical method that allows us to summarize and study relationships between two variables: One variable...

When we try to represent relationship between variables, one of them is determining factor and other is explanatory, it is called Linear...

What is Logistic Regression? Logistic regression is used when the dependent variable is categorical. For example, To predict whether the...

What is Random Forest Regression? Random Forest or Random Decision Forests are an ensemble learning method for classification and...

What is Decision Tree Regression? Decision trees are a non-parametric supervised learning method used for both classification and...

What is Support Vector Regression? Support Vector Machine is a supervised machine learning algorithm that can be used for regression or...

What is a Polynomial Linear Regression? Polynomial Linear Regression is similar to the Multiple Linear Regression but the difference is,...

What is a Multiple Linear Regression? Multiple Linear Regression is an extension of the simple linear regression algorithms to predict...

What is a Linear Regression? Linear Regression is one of the supervised machine learning algorithms to predict values within a continuous...