Regression is the basic concept of predictive analytics. When we say predictive analytics, it’s all about to predict the future or forecast the future. There are many types of regression exist in the world of data science or statistics like linear regression, logistic regression, ridge regression and many more. As a basic data analytics tool, … Read more
Among four types of analytics (descriptive, diagnostic, predictive and prescriptive), predictive analytics is one of the important type of analytics to predict the future data. Forecasting can be done with all the statistical tools or analytics tool like R, Python, Alteryx. As a basic analytical tool, forecasting can be done also with the help of … Read more
Logistic Regression for machine learning is a popular term in statistics, to be more specific in predictive analytics. Logistics regression is also called direct probability model or logit model in the field of statistics. It was first introduced in the year 1958 by Dr Cox, a statistician. There are many types of regression models are … Read more
SQL stands for Structured Query Language where Join is an important concept to merge two data sets by using primary key or unique key. SQL is based on the concept of Relational Algebra. In other words, it can be said the it is the application of Relational Algebra. SQL was developed by Raymond Boyce & … Read more
Perceptual mapping and Multidimensional scaling are the two terminology which are linked with each other. Brand positioning depends on the strategy and marketing procedures which enables a brand in the customers mind depending on the customer needs and brand attributes. To see brand positioning compared to competitors, various techniques are being used like perceptual mapping, … Read more