Recently Published
Association analysis on Groceries Data set
Association analysis on Groceries Data set
Survival Analysis on rats Data set
Survival Analysis on rats Data set
Survival Analysis on rats Data set
Survival Analysis on rats Data set
Regression Analysis of Students Data set
Regression Analysis of Students Data set
Patient Analysis
Patient Analysis
Complete Analysis of WINE Data set
Complete Analysis of WINE Data set
Principal Component Analysis - Arrests in US DATA
Principal Component Analysis - Arrests in US DATA
Support Vector Machine - Classification of CATs DATA
Support Vector Machine - Classification of CATs DATA
Association analysis on Football Data set
Association analysis on Football Data set
Association analysis on Adults Data set
Association analysis on Adults Data set
Survival Analysis
Performing survival analysis on determining the time to survive for leukemia patients
SUPPORT VECTOR MACHINES - CLASSIFICATION
Classifying Sex of Cats ( either Male / Female ) by using two attributes of each object ( Body Weight & Height )
US ARREST DATA ANALYSIS
PCA to reduce the number of features on US Arrest Dataset
Automobile Class Predictor - Binary Classification with LDA
This example was taken from a German blog post. Grouping variable group, A and B. A: first class automobile B: middle class models. c: Low Class models. 15 consumers were asked to rank the models according to security, ecology, innovation and prestige. Likert-scale: 1 (low ranking) to 10 (high ranking).
Predicting_University_admission
Logistic regression Model to predict admission into a university.
Evaluation is done with confusion matrix , Pseudo R2 values like McFaddens-R2 , Cox & Snell-R2 and Nagelkerke-R2.
Car_performance_Analysis
Multi-Linear Model & Anova to predict the MPG of a car based on following attributes.
• mpg
• cylinders
• displacement
• horsepower
• weight
• acceleration
• model year
• origin
• car name
German_Income_Analysis
Logistic Regression applied to categories income a citizen based on following variables.
• age
• Income
• sex
• Final Weight
• education
• race
• capital-gain
• capital-loss