Introduction to interpolation Interpolation is one of the methods of filling null values. Before learning about interpolation, let us...

Photo by Stephen Phillips - Hostreviews.co.uk on Unsplash EDA (Exploratory Data Analysis) : Exploratory Data Analysis (EDA) is an...

Photo by Emily Morter on Unsplash In Data analysis, it is very important how you select data or in another terms Slicing and Dicing of...

Photo by Gabriel Heinzer on Unsplash In the process of Data gathering a Data Analyst have to handle various forms of data from different...

You can't build a great building on a weak foundation. You must have a solid foundation if you're going to have a strong super structure....

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...