Application of Random Forest algorithm on two datasets (Spam and Cpus). This assignment also includes how to decide the optimum number of trees and predictors ( find the best mtry among sqrt(p)+-1 and ntree among 500, 1000, 2000)

Application of Decision trees and Generalized additive model on spam data and cpus data

In this example, I have applied Ridge and Lasso regression on Hitters Baseball dataset. This also captures best Lambda and plot of coefficient vs Lambda (using plot_glmnet)

Application of Lasso linear regression

Application of cross validation on QDA,LDA, KNN and Linear regression

This post uses a linear regression model to assist in preparing a marketing plan for next year that will result in high product sales.

In this code I have used the concept of gradient descent using 2d and 3d plots using image and contour function

Application of linear and quadratic discriminant analysis, KNN and logistic regression (ISLR chapter 4)

Social Media Analytics for Marketing strategy

In this assignment, I have used sapply and other functions to derive a matrix from a list

Regression model using Logistic, Support vector Machine, Multinomial, Ordinal Logistic Regression

PCA analysis of Wine Data

Petco Facebook sentiment analysis

Approach for imbalanced classification problem Also see http://2bdatascientiest.blogspot.com/2016/12/how-misleading-can-performance-metric.html