It is intimidating to make the transition from a non-technical background into data science, but with the right approach, it's possible. Regardless of the business, social sciences, arts, or any…
Data science and data analysis are two highly important roles within an organization in today's highly data-driven world. Even though they are related, their duties, skill sets, and career tracks…
Prompt engineering is a new branch of artificial intelligence (AI) about the design of efficient inputs, or "prompts," to influence AI models to produce desired results. Given the way AI…
Data science remains one of the most in-demand and dynamic fields. It is open to a variety of opportunities, as long as a person is properly equipped with skills and…
Entering into data science is like stepping into an uncharted and vast world; the best way to step in gradually would be through projects. The beginner-friendly projects not only introduce…
Version control is very important for ML projects since they are pretty complex and iterative, hence model development. Without proper version control, it might be hard to manage changes, reproduce…