I have been trying to learn machine learning for sometime now. I have learnt / familarized myself with all the major algorithms and have tried my hand at some projects/ kernels at Analytics vidhaya and Kaggle too.
But I am not sure what to do next ? how to take my learning to the next level. What I mean is…
say for example if we take House pricing project…having done
- Basic EDA
- data preprocessing & feature Engineering
I train and test algorithms with a certain degree of accuracy or perhaps apply certain regaularization techniques to bump up accuracy.
Now where to go from here ?
what do I learn next ?
How do I become better?
Inshort I am trying to improve/ refine/ deep dive into what I have already learnt
Kindly share a roadmap if possible
Thahks & Regards