Rapid Fire on Data Analytics

Criteria for a good data model includes It can be easily consumed Large data changes in a good model should be scalable It should provide predictable performance A good model can adapt to changes in requirements A good data model should meet several criteria to be considered effective for data analytics purposes. Here are some … Read more

N-gram: An n-gram is a contiguous sequence of n items from a given sequence of text or speech. It is a type of probabilistic language model for predicting the next item in such a sequence in the form of a (n-1). In the context of data analytics and natural language processing, an n-gram refers to … Read more

Although single imputation is widely used, it does not reflect the uncertainty created by missing data at random. So, multiple imputation is more favorable then single imputation in case of data missing at random. The choice of imputation method depends on various factors such as the nature of the data, the extent of missingness, the … Read more

During imputation we replace missing data with substituted values. The types of imputation techniques involve are Single Imputation Hot-deck imputation: A missing value is imputed from a randomly selected similar record by the help of punch card Cold deck imputation: It works same as hot deck imputation, but it is more advanced and selects donors … Read more

A hash table collision happens when two different keys hash to the same value. Two data cannot be stored in the same slot in array. To avoid hash table collision there are many techniques, here we list out two Separate Chaining: It uses the data structure to store multiple items that hash to the same … Read more