MACHINE LEARNING WITH R

MACHINE LEARNING WITH R

Machine learning in R is used to build classification model.

Something important to note when building a model is that R will assign numbers to the model seed number.

Therefore in order to get the same results every time you run the model you should set a fixed number to the random seed number.

In machine learning it is good practice to know the types of attributes , for a better understanding on how best to summarize the data you have at hand and the types of transforms you might need to use to prepare the data before you actually start modelling.

We can perform statistical summary in machine learning as well, this includes; the mean, the min, max, 25th , 50th and 75th percentiles.

After analyzing the data we can now visualize. There are 2 most important plots:

• Univariate plots – to understand better each attribute.
• Multivariate plots – to better understand the relationships between attributes.