VS Code
This extension offers a great experience for scientists and by using this you can enable the DVC view which can be a perfect fit for any ML project. Besides this, you can even perform multiple tasks at the same time, such as running experiments, managing parameters, managing parameters, etc. for different models.
Reason to Pick VS Code
Below are some of the major highlights to justify the same:
- It offers multiple language support to their users
- By using VS code, you can work on highly extensive and interactive plots.
- Add-on features such as Live Tracking, extension support (.py & .ipynb)
- It allows developers to easily perform mergers with GIT.
Before we jump into our conclusion, if you’re at the beginner’s level and looking out to create a strong base in your career, then you should consider this course that will establish your core strength in Machine Learning: Machine Learning Basic and Advanced – Self Paced
Best IDEs For Machine Learning
Over the years, Machine Learning has made a significant impact in the market. As per a recent report, currently, the market is standing at USD 21 Billion (2022) and is expected to cross USD 200 Billion by the end of 2029 at a CAGR of 38% and above. This graph has marked the influential leap during the COVID-19 pandemic and the demand rose by multiple folds (specifically for ML & AI) and the market is not showing any sign of slowing down.
Since the demand for Machine Learning and its professionals is increasing every day, it becomes crucial for you to understand that it’s not as easy as it seems. Being one of the most fascinating technology jobs, the key to getting sustainable growth in this field is to keep yourself updated with the latest tools and techniques to get ahead in this field.
Before we jump into the mainframe, let’s start with the basics of Machine Learning along with its scope in the future: