“Data science is an interdisciplinary field that uses scientific methods, processes, Machine learning algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured…

The precise reason why Kaggle is important for a successful data scientist is that the data and the business problems presented in Kaggle are real in nature. Although the data provided is cleansed and structured and in n…

There is no such categorization of data science projects as ‘good’ or ‘bad’. The nature of projects that an individual indulges in should depend largely on the stage of the career that the particular person is in. For st…

How to explain your failure to HR?

Marketing automation is frequently used at many places in the marketing world. When it comes to email, marketing automation refers to the process of sending email campaigns by an email marketing software to the customers…

What all should one do before an interview?