I, like most, am a Kaggle complete novice. It’s the best place to learn and develop your Data Science and Machine Learning skills through hands-on projects.
Best Features of Kaggle are:-
- Machine Learning Competitions: This is why Kaggle is so popular. Look for problems that concern you and compete to develop the best algorithm.
- Kaggle Datasets: The best place to find, explore, and review open data is Kaggle datasets. You can download a variety of fascinating datasets of various types and sizes for free to practice your skills.
Kaggle Free Online Courses: Free Jupyter Notebook micro-courses to help you develop your existing skills.
- Discussions: A place to ask questions and get answers from the Kaggle community’s thousands and thousands of data scientists.
- Kaggle Kernels: Kaggle Kernels are basically web-based Jupyter notebooks. The use of these kernels is fully unrestricted (you can even add a GPU). As a result, you will avoid the hassle of creating a local atmosphere. They also allow you to share Python or R code and analyses.
Finally, “The Home to Data Science” as Kaggle calls it.