ha ha ha! sounds weird. may be,but my all understandings in machine learning was in theoretical phase,,don't use too much practically.But today when i started to solve a problem in hackerearth of machine learning how to predict a research paper citations,it is give a great opurtunity to clear my machine learning understandings.
i can't solve this problem ,but i thought that i can solve this,so i started to googling how to build a predictive model on this type of problems:::::
so i find this link,which give me a lot of help in my machine learning understandings,i put it here:
https://machinelearningmastery.com/machine-learning-in-python-step-by-step/
a great post,you can get interest in machine learning without knowing any programming,if you know little of math.
iris data set ---------->first data set of a machine learning beginner like me. https://en.wikipedia.org/wiki/Iris_flower_data_set
i got idea how to use various python libraries likee panda,matplotlib,sklearn, various ml datastructures like linear regression,SVC.(basic idea)
the challenge url was: https://www.hackerearth.com/problem/machine-learning/predict-the-citation-count-for-research-papers/
Thank you for reading this.if any modification need tell me. any advice should be helpful.