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mlstuffs's Introduction


Ml concepts


*Analysis of different variables(like Tax, RM) to predick House price using Linear Regression
*Concepts covered scikit learn library - numpy, pandas,matlpotlib, seaborn and much more

*Concept of linear Regression explained on random data

Analysed Linear,multiple Regression on dummy data as well

....Sample_File(For analysing clearly)-check1.data ....


Regression Techniques


Regularisation - Ridge, lasso


ML cheat codes


Includes basic scratch implementation of LR and K-nearest also includes various preprocessing techniques,decision tree,svm up till now, so aware with syntax!!!

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