Machine learning algorithm implementation in Python and R . Some work done as part of class work on open datasets.

1. Linear Regresssion Practice in R Lear modelling using R with Boston city Data Set .
2. Classification Logistic Regression Model in R . Linear Discremental Analysis . Classification using KNN.
3. Validation K fold Cross validation Bootstrap validation
4. SVM Classification and plot using Matlab Linear kernel Radial Kernel Data set ESL.Mixture is added in Data folder
5. Web spam classification in Mtlab using perceptron