Some would argue that true learning only happens when you are working on a concrete project and solving real-world problems with your scientific skills. Below are some recommended ways to get information using your information (e.g. learn by doing).
- CodeSignal - When I was young in coding, I had a hard time understanding how my basic skills could be used to solve real-world problems. Happily, CodeSignal (formerly known as CodeFights) had some nice coding challenges that allowed me to compete with bots and real people. This made me feel comfortable with the problem-solving process with code. The website started out as a platform for competitive codes but now focuses on preparing developers for coding tests during interviews with technology companies.
Kaggle - This is a platform where Data Science Training in Delhi meet
1) share information and code, and
2) compete in training ML algorithms that better achieve the goal (eg predict house prices accurately). Even if you don’t compete openly, I think the biggest amount that can be added from Kaggle is the availability of “code solutions” from the competition. Learning the code of some experienced data scientists is one of the fastest ways to improve because it teaches you good habits while making you comfortable reading and writing ML code from the beginning.
Passion Projects - Even if you don't have a Data Science Training in Noida job but want to get into the field, think of a great project you can do! Find a problem you want to solve or something fun you want to do, and make a machine learning model for this. Even better if you decide to use it as an app available online! (e.g. I recently developed an investment analysis tool to make smart trading more accessible!).
Full function - This should be visible. A great way to learn by doing is to get yourself a job in data science. The problem with the cold start is when companies want you to have data science skills, but how do you get these skills if you don't have job experience? All of the steps listed above should equip you with the skills needed to help you quickly become part of the Data Science Online Training team. So get started!
The conclusion And that's how I got the skills I have today and I still have a lot to learn! It has been a long and tiring journey but every single effort has been worth it. Every day, I feel privileged to work on an interesting and influential project at the same time. I am so excited about this project that I have taken the time to do this guide so that more people can get into the same field.