Principal Component Analysis is an important dimensional reduction technique in machine learning field. Today, I will demonstrate how to perform PCA and how to interpret the result of matrix rotation by using Brewer’s Recipe data.

# Tag Archives: R-Programming

# Regression Analysis

People use regression model a lot to predict continuous variables. Other than that, regression model finds the correlations between input variables. By analyzing the relationships, people could find some underlying pattern to help us make decisions. Today, I will demonstrate how to do regression analysis and interpret its results by using house data from King County, Washington from May 2014 through May 2015.

# Cold Call Prediction

Logistic regression is wildly used to solve classification problems. Today, I am gonna use it to predict whether people buy car insurances by using a Car Insurance dataset from Kaggle.

# Clustering Methods

Unsupervised machine learning algorithms are wildly used in the world, and clustering is one of them. Generally, purposes of clustering is finding labels for cases. Today, I’m gonna demonstrate two clustering algorithms and how to evaluate their performance.

# K-Nearest Neighborhood

It’s a practice problem that building a single prediction model is not a enough to assure we have the best model to predict accurately. In this article, I will introduce another classifier, K-NN, by using Letter Recognition Data Set at UCI machine learning repository.