Hello everyone. I am looking for some guidance. Help!
I completed the first course of the ML specialization and I’m not sure how to proceed. I know the obvious thing to do would be to move on to the next course, but i would like to practice some more what I learned on the first course.
Are there some projects available on the internet, or are we just supposed to find a dataset from somewhere and do whatever we want with it ?
I tried looking at the projects tab here as well as on Kaggle (supposedly one of the best platforms to learn and practice) but besides the courses I can’t find much. Some of the projects i could find are too advanced for what i currently know.
Maybe i don’t know where to look, or i don’t know what to look for. Please help me in clarifying the situation. Your input is much appreciated.
Tl;dr : I want to practice what i learned, but I don’t know how. Help!
These are mostly Kaggle courses. Their courses have a “lesson” part and a “tutorial” part, which are basically their “lab” equivalent. I have enjoyed going through them, but like the practice labs they are limited.
Keep in mind, I’m not limiting my question to Kaggle projects, but rather asking for ways to improve my proficiency. How does one improve their skills when first starting ?
