gravatar

anandjage

Anand Jage

Recently Published

Notes on ML Algorithm
DATA CLEANSING AND IMPUTATION - Suicide Prediction
SVM Example
JS Libs in R
Decision Tree - Employee Churn
KNN Classification on Iris Data
Missing Data Imputation using mice and VIM
KNN Cancer Diagnosis
KNN Classification Algorithm
Factorise Multiple Integer Variables
HANDLE MISSING VALUES
Multiple Linear Regression
Logistic Regression - Bank Loan Defaulter Prediction
Logistic Regression
Example of Binomial Logistic Regression and AUC-ROC Plot
Cross Validation - Hold Out Method
The holdout method is the simplest kind of cross validation. The data set is separated into two sets, called the training set and the testing set. The function approximator fits a function using the training set only.