- To eat or not to eat! That's the question? Measuring the association between categorical variables In this post, I provide an in-depth treatment of categorical nominal data to measure significance and association between the variables.
- Learning a classifier from census data A case study on adult income data to predict income level
- Predicting employment related factors in Malaysia- A regression analysis approach A case study on determining factors responsible for a steady employment in Malaysia based on data from the department of statistics
- Predicting rubber plantation yield- A regression analysis approach A case study on predicting rubber yield per tonne based on rubber plantation data of Malaysia
- Basic assumptions to be taken care of when building a predictive model Fundamental concepts in building a predictive model
- Data Transformations in R Types of data transformations
- Sold! How do home features add up to its price tag? Predicting the house price based on its features
- Learning from data science competitions- baby steps What it takes to compete and excel in data science competitions
- Data Splitting How to split data into training and testing sets
- Big or small-lets save them all- Visualizing Data Making data powered visualizations for the gapminder dataset