Backup is a vital process that makes the functioning of the present day businesses smooth and secure. No business can do without deploying standard backup software in their IT systems. The creation of numerous copy files, hard drive storage and database workspace helps to rescue the loss data in backup softwares. This assists the data loss and rebuilds the initial contents to the software. Read More

When the ruthless Pandemic hit the State of Victoria (Australia), the State Government placed its hopes for containing its spread on what they‘ve been referring to ‘’a highly sophisticated’’ Contact Tracing Program. Unfortunately, the initial contact tracing efforts appeared to have failed miserably as the authorities struggled to trace the virus carriers’ contacts efficiently. Read More

Data is the new oil/new currency. Equipped with it, upcoming organizations are disrupting established industries, and traditional businesses are transforming the way they operate. Not all organizations are equally proficient at translating data into currency, but their ability to do so is impacting their ability to compete. Read More

Based on these findings study affirm that the GHQ-12 is a good measure for assessing the overall psychological health of students Read More

The application of piecewise hazard model in mortality data becomes more useful in survival methods. This method is used to find the number and location cut points and to estimate the hazard model. The objective of this paper is to illustrate the piecewise constant hazard model and to find significant factors for under-five child mortality. Read More

Imbalanced datasets contain valuable data that is often lost in data techniques that aim to balance datasets. In this article, we will look at what an Imbalanced dataset is and various techniques that can be used to handle imbalanced datasets. Read More

While practical benefits of the Real-time data analytics over historic data analytics are obvious, it is also essential to understand and cater for its risks, challenges and limitations. Read More

Have you come across Data Science jargon and buzzwords such as Artificial intelligence (AI); Machine Learning (ML); Deep Learning (DL); Neural Network (NN) etc.. want to know more about them and how each of them differ? If so then checkout this article, which will give you a brief idea what these are. Read More

The Next Generation Digital Learning Environment (NGDLE) is considered as a ecosystem - a learning situation comprising of learning apparatuses and segments that stick to normal guidelines. While the customary Learning Management System (LMS) gives regulatory capacities, the NGDLE is planned to straightforwardly bolster learning. Read More

While working on various dataset to train a Machine Learning model. What is it, that you look for? What is the most important part of the EDA phase? There are certain things which, if they are not done in the EDA phase, can affect further statistical / Machine Learning modelling. One of the answers is to, find “Outliers”. Read More