This will help you get started with audio data and understand how to work with unstructured data. Large scale scene understanding (LSUN) is a dataset of millions of colored images of scenes and objects. It is much bigger than imagenet dataset. There are around 59 million images, 10 different scenes categories, and 20 different object categories.

The projects described above are by no means an exhaustive list. AI is an incredibly vast field, and with some creativity and technical know-how, you will be able to create some fantastic artificial intelligence software projects to showcase on your portfolio. With the democratisation of AI, it has become increasingly easy to build AI models to solve business problems across diverse business domains. High-level libraries like FastAI and open-source pre-trained models have made AI accessible to everyone. As long as you have an intermediate understanding of machine learning and programming, you can build models to fit various use-cases.

In today's technology-driven world, machine learning is a prominent area that makes our machines or electronic devices intelligent. The purpose of this field is to turn a simple machine into a machine with a mind. In this article, we look at machine learning and artificial intelligence projects that may raise interest. Because these AI and ML projects are competitive, demanding, and exciting to develop. I firmly believe that this project is the best place to invest your time and skills. .

As a beginner in the data science industry, you must have read countless articles describing the importance of creating data science projects. In fact, I landed my first data science role due to the projects I showcased on my portfolio. However, not every data science project can land you a role in the industry. I have reviewed resumes of data science applicants in the past, most of whom were rejected from entry-level positions without even making it to the interview phase. Some of these candidates did include projects on their resume -- but the projects they showcased were too simple.