So during the weekend I have mostly realised my current standing with the machine learning models and how much I understand it. I am planning to take a structured and consistent approach to learning about different models while participating in Kaggle competitions. Like I wasn’t aware about model ensembling clearly and how important is that. I recently watched a video on ‘Visual Guide to Decision Trees’ by Econoscent and it was very helpful. I plan to watch more videos in the future. There is another video on Random Forest by same channel which I plan to watch and I’ll try and develop models using python for Kaggle competitions this time, since it has libraries to run all different functions of model ensembling and machine learning in general and also it is better for collaborating. This is all for now !
