Beginners should undertake data science projects as they provide practical experience and help in the application of theoretical concepts learned in courses, building a portfolio and enhancing skills.

Did you know that over 80% of AI projects fail? That's twice the failure rate of regular IT projects. A Gartner survey found that only 48% of AI projects make it to production, and it typically takes ...

Responding to an impending hazard means that time is limited, so analysis and decision-making must proceed on an accelerated timetable. Modeling, numerical simulation, leading to predictive capacity, ...

Data science startup RapidCanvas Inc. today announced that it closed a $16 million funding round led by Peak XV,. Titanium Ventures, Accel and Valley Capital Partners also contributed to the ...

Breakthroughs, discoveries, and DIY tips sent six days a week. Terms of Service and Privacy Policy. When I was a kid, science was one of my favorite subjects. I loved ...

The brain of a fruit fly is so small that it can fit on the head of a pin. And yet, it is an inordinately complex object, encompassing nearly 140,000 neurons and 50 million synapses. It is no wonder, ...

The Data Mine connects students in Indianapolis with corporate partners for hands-on data science projects. The proximity to Indianapolis businesses allows for frequent mentor interactions and site ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...