To understand the methodology and functionality of the sktime library.
To explore new areas of time series forecasting, classification, and regression.
To contribute to this community and to apply the same in my project.
What topic did you work on?
I worked on several areas like Documentation, Code, and Outreach.
What did you learn?
Since this was my first Open Source Project where I get involved with, I learned a lot of things from zero to half mastery like
[x] how to make contributions.
[x] how to setup development tools.
[x] getting started with sktime (made my concepts clear about this project).
[x] how to apply the work for any project related to time series forecasting, classification, and regression problems.
[x] It also helped me to get involved in other projects like FOSSASIA which is kind of different from this one but I explored my interests well.
Also to add my experience with the mentor was super nice and quite supportive. I got a quick reply for small or any bug without any hesitation that I faced during my contribution.
What's next for you?
Want to access more opportunities in data science.
OLS Program a platform for furthering their Open Science skills which is more or less like SDLC in any software development project.
Mentee: Afzal Ansari (@afzal442)
Mentor: @mloning
Why did you join sktime's mentorship program?
What topic did you work on?
I worked on several areas like Documentation, Code, and Outreach.
What did you learn?
Since this was my first Open Source Project where I get involved with, I learned a lot of things from zero to half mastery like
Also to add my experience with the mentor was super nice and quite supportive. I got a quick reply for small or any bug without any hesitation that I faced during my contribution.
What's next for you?