Hope everyone is having a great day!
I’m a 4th-year AI Engineering undergraduate who is deeply passionate about Machine Learning (ML) and Deep Learning (DL). I have a solid theoretical understanding of ML concepts, but I’ve been struggling with implementing models from scratch.
While I can follow along with tutorials and courses (I completed the Machine Learning Specialization and am now diving into the Deep Learning Specialization), I often feel completely lost when trying to code without guidance. It’s been a challenge I’ve overthought for two years now.
To overcome this, I started participating in Kaggle competitions, particularly introductory ones, and building models step by step. However, I still feel that my progress isn’t enough, and I’d love some advice on how to improve my ability to code ML/DL models independently.
If anyone is willing to provide feedback on my notebooks or share guidance on becoming more confident in implementation, I’d greatly appreciate it!
Here’s my Kaggle profile:
Osama Mohamed | Contributor | Kaggle