Blogs

Popular tag

Machine Learning

“Just because I haven’t found my distribution yet, am I an Outlier?” Wise men say life is like Math; most problems have mathematical solutions, but, if all data points lie on your regression line, then something is not well. Every aspect of life experiences outliers. They live-in extremes showcasing both negative and positive possibilities. But our rudimentary action with them has been of complete discrimination and discard. Why?

Digital Marketing

Common SEO Mistakes Beginners Make

Cyber Security

Information security, also known as cyber security or IT security, is the practice of protecting sensitive information from unauthorized access, use, disclosure, disruption, modification, or destruction. In today's digital age, where almost all information is stored and transmitted electronically, information security is more important than ever.

Data Analytics

Powerful Visuals come from Powerful tool

Python

In Python, a library is a collection of pre-written code modules that provide a set of functionalities and tools for performing specific tasks. These libraries can be used to save time and effort in programming by providing a set of pre-built functions and classes that can be imported into a project and used to perform various tasks. Python has a large number of libraries that are widely used in various fields, such as data analysis, machine learning, web development, and scientific computing. Some of the popular libraries in Python include NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, Keras, Flask, Django, BeautifulSoup, and Requests. These libraries provide various functionalities such as numerical computing, data manipulation, plotting and visualization, machine learning, web development, web scraping, and more. By using these libraries, developers can save time and effort in writing code from scratch and focus more on solving the problem at hand.

Business Intelligence

"Data modeling is the process of designing and organizing data for analysis in the Power BI platform. It involves identifying data sources, understanding the structure and relationships of the data, and creating a logical model to support the creation of accurate and meaningful visualizations and reports."