Machine Learning Models

What is Machine Learning?

          Machine learning focuses on the development of computer programs that can access data and use it to learn  themselves. 

Whereas in traditional  system, programmer used to provide logic in form of program for learning.



Machine Learning models

         Supervised Machine Learning is where features and labels both are present eg predicting housing price.

Unsupervised Machine Learning only have features eg predicting or understanding handwritten digits.




I Regression

     Predict a value on bases of other value or values.  Eg vote count of a candidate, movie collection of new release.

Linear regression- 

    Based on advertising cost predicting sales.



Multiple regression

       Based on price and advertising cost predicting sales figures.


II Classification

       Predict the category/class. Eg Placement/not placement, rain/not rain, purchase/not purchase.

K nearest neighbour

       Based on estimated salary and age of buyer, purchase/not purchase decision will be made by k nearest neighbour k=3, k=5…


III Clustering

K means

     Decided which promotion scheme to be implemented on which cluster of customers. Customer mapped on bases of annual income and credit score.



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