Customer Lifetime Value Customer Lifetime Value (CLV), also known as Life-time Value (LTV), is the present value of the future cash flows from the customer during his or her entire relationship with the company. In other words, the dollar value of a customer relationship which is based on the present …

Here is a list of free books for DataScience and MachineLearning that are worth checking out: š Statistics Think Stats ā Probability and Statistics https://lnkd.in/gjAs_s9 Statistical Inference for Data Science https://lnkd.in/grU8ep7 Think Bayes ā Bayesian Statistics Made Simple https://lnkd.in/gW_ebEa š Machine Learning An Introduction to Statistical Learning https://lnkd.in/gqQkbcn The Elements …

CART (Classification and Regression Trees) An Introduction and Motivation for choosing CART: Two of the very basic ideas behind any algorithm used for predictive analysis are : – prediction on the basis of regression and prediction on the basis of classification. However, both are equally important concepts of data science. …

Market Basket Analysis in R: From Sellers to Intelligent Sellers The Main Idea: The term āE-commerceā is well known to all of us. Well, it means trade and business through the means of internet, popularly known as āonline shoppingā. Nowadays, retailers who traditionally used to sell their products strictly in …

When the input data is unlabeled and we have to find hidden patterns or clusters in the data set unsupervised learning comes in the picture. In clustering what we do is given a data set we look for similarities among the data points and make clusters accordingly. The clusters are …

So far we know that when the constants of a population (the parameters) are unknown, we estimate them by finding estimates based on the samples drawn from the same population. This method is called āestimationā. Now, since we are estimating the parameters so there must be two types of …

Is there any basis why probability distribution has to be talked about? What are its uses in understanding data? Can it show a sense of relevance according to one’s needs? These are some of the questions that one has to ask in studying probability statistics. Taking into consideration all of …

When we say data, these Ā involve numbers or texts or symbols that represent some pieces of information. More often than not, we can see numbers. Because numbers are involved, it is easier to think that it has some values of quantitative or qualitative variables. It must be taken note of …

DESCRIPTIVE ANALYTICS How frequently you use statistical analyses in your work? Ā Is it every day? Every week? Every quarter? Annually?None at all? Now it is time together your data and evaluate your performance and get ready to take off. Using descriptive analytics is a cutting edge advantage , that is, …