Descriptive statistics is the first encounter with the data, and gives us a primal intuition and idea of what is laid in front of us. Sometimes, for some reason, we’re interested not only in the overall descriptive statistics of the Read more…
In machine learning one of the core-steps we’re usually required to, is to split the data into train set and test set. The train set is usually relevant for supervised model, and the test set is usually relevant for unsupervised Read more…
Sometimes we choose not to use the default color pallet offered by R.In this post we’d be able to see some examples of alternative usage. Setting up the data: We’ll generate the data ourselves using set.seed(1000) command to retain the Read more…
Plotting and Descriptive Statistics Assignment: Linear Regression: Data Wrangling & Some Plotting Hypotheses Testing and More
Let’s assume we have this table: At first, we’d build an aiding table to assist and simplify all the calculations; There’s the table: The mean is calculated as it is calculated for discrete tables. The mode is usually the mid-point Read more…