MachineLearning

ML Use Case 1

Linear Regression for degrees 1, 3, 6, and 9.

ML Use Case 2

K nearest neighabour

-KNN classifier is used for cancer detection using Breast Cancer wisconsin dataset. It give fewer incorrect predictions and hence higher accuracy score.

Techniques that could be implemented in Future

There are more advanced techniques that could have been implemented here. For example, I could have used on a dataset containing information on various cellular parameters to differentiate malignant cells from benign ones.

ML Use Case 3

Segmentation Using K-Means

The project uses unsupervised technique to apply K-mean algorithm to a data of mall customers. K-means algorithm classify the customer into 5 cluster that describe their behavior according to income and age.

Thee are the simple machine learning projects. I hope to work on more complicated projects in the near future