## Recently Published

##### Random Forest

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)

##### Decision trees and Generalized additive model

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

##### Ridge and Lasso regression application (Baseball dataset-Hitters)

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) regresssion

Application of Lasso linear regression

##### Cross validation

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

##### Linear Regression Model

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

##### Gradient descent

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

##### LDA,QDA, KNN and logistic regression

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

##### Publish Document

Social Media Analytics for Marketing strategy

##### Application of Sapply and other functions

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

##### Application of Regression model on Wine data

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

##### PCA analysis of Wine Data

PCA analysis of Wine Data

##### Petco Facebook sentiment analysis

Petco Facebook sentiment analysis

##### Diabetes Readmission analysis using decision trees and Random Forest

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