Cloud Databases are very crucial in cloud based approach of today’s business landscape.With highly in demand data science projects and applications, the cloud databases provide an easy way to connect…

# Category: Data Science

Data mining is the process of extraction of knowledge from raw data to perform predictive analytics and operations. Most companies use its different approaches to observe trends in data. The…

Clustering is an unsupervised learning method in machine learning. Clustering Algorithms in Machine learning are used to create data groups. These data groups are called as clusters. The data points…

You have read Top 10 Data Analytics/Data Science Interview Questions in our earlier post. Here are the next 10 most important Data Analytics/Data Science Interview Questions to help you with…

Market Basket Analysis is used for associations among items in transactional data. This is very helpful in recommender systems with high usage in retail and shopping platforms and companies. Market…

Regression techniques such as Linear regression, logistic regression, all fall under a super class known as generalized linear models (GLM). Simple linear regression is one of the most basic technique…

Getting hired for a Data Analytics or Data Science job is the dream of many Computer Science enthusiasts. To get hired for these much coveted jobs you must be acquainted…

DBSCAN is a clustering algorithm used mainly for discovering clusters of random shapes. Its runtime is defined to be O(nlog(n)). Mathematically, it is based on the formal idea of density-reachability…

SVM: Support Vector Machine is a highly used method for classification. It can be used to classify both linear as well as non linear data.SVM was originally created for binary…

Queue is linear data structure based on “First In First Out” (FIFO) principle. The elements that are inserted earlier will be deleted before those elements which are added later. It…