Tutorials

Econometric Modelling: How It Can Help In Business

Econometric modelling has become a colloquial buzzword, more so with the advent of the big data age. It is applied in all the fields extensively, be it for academic or commercial purposes. Though the term is used commonly, there are

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6 types of regressions, did you know?

Regression is a branch of statistics that has a major applicability in predictive analytics. Regression analysis is used to measure the relationship between a dependent variable with one or more predictor variables. The goal of regression analysis is to predict

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10 Python Libraries for Data Science

The popularity of Python as a developer’s choice has been on the rise since the past few years. The programming language has been ranked number one by IEEE Spectrum in 2017. If you are planning to build your career in

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A Simple, Beginner’s Guide to Machine Learning Algorithms

The world today has witnessed some of the great successes of machine learning applications. We all have awed at the working of self-driving Google car and relied on online recommendation engines of Netflix and e-commerce sites. These are essentially based

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Know the difference between four data science techniques

  Data science is a vast field to learn. The techniques used in data science help in extracting meaningful insights from data. These techniques also serve as a foundation for many other well-known algorithms. However, they do differ in terms

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Introduction to Logistic Regression

Logistic regression is used to predict a discrete outcome based on variables which may be discrete, continuous or mixed. Thus, when the dependent variable has two or more discrete outcomes, logistic regression is a commonly used technique. The outcome could

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Understanding Neural Network: A beginner’s guide

  Neural network or artificial neural network is one of the frequently used buzzwords in analytics these days. Neural network is a machine learning technique which enables a computer to learn from the observational data. Neural network in computing is inspired

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Manipulating Data in R

R is one of the best languages for data analysis. It has over 10,837 add-on packages with more than 98,996 members on LinkedIn’s R Group. The best thing about R is that it is open source, very powerful and can

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How to visualize data with Tableau

Visualization gives a life to data as it is said that a picture is worth a million rows. Rich and interactive visuals reveal insightful stories in data. With the help of visualization, one can create multifaceted views of data which

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Why is intercept important in regression analysis?

Linear regression is a statistical method to find the relationship between one dependent and one or more independent variables. Regression analysis constitutes an important part of a statistical analysis to explore and model the relationship between variables. The variable we

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