Jul-14-2020, 03:39 AM
I have been working on machine learning either part time or full time for the last year and a half.
But what i am missing the practicality of it all.
I want to see a problem preferably a classification one worked from soup to nuts.
I just have not found one like that.
I read allot of the medium articles, but there is always something missing. The basic
python code that starts with the data, cleans it and normalizes and then
uses it in machine learning project.
I find so little of that in the literature.
What book or paper or website addresses this problem?
I just need to see how its done. I can do the proofs and I follow the math arguments, but where and how to I apply them?
Any help appreciated. Thanks in advance.
Respectfully,
ErnestTBass
But what i am missing the practicality of it all.
I want to see a problem preferably a classification one worked from soup to nuts.
I just have not found one like that.
I read allot of the medium articles, but there is always something missing. The basic
python code that starts with the data, cleans it and normalizes and then
uses it in machine learning project.
I find so little of that in the literature.
What book or paper or website addresses this problem?
I just need to see how its done. I can do the proofs and I follow the math arguments, but where and how to I apply them?
Any help appreciated. Thanks in advance.
Respectfully,
ErnestTBass