Let’s say we have a dataset. The dataset has several columns. And we want to transform different columns differently. For example, we may want to use Standard Scaler for one column, and Min-Max Scaler for another column. One way to do it is to use the Standard Scaler...

What is One-Hot Encoding? Let’s say a column in a dataset contains categorical values. There are three different values in the categorical column. Let’s say, these values are “A”, “B”, and “C”. If we perform One Hot Encoding on the data of the column, then three...

What is ordinal encoding? A categorical variable contains categorical data, such as name, gender, address, etc. There are different types of categorical variables. A nominal categorical variable contains categorical data that cannot be ranked over each other. For...

Machine learning algorithms understand only numbers. So, if a column in a dataset contains categorical values, we need to encode the categorical values into numbers. We can use label encoding for that purpose. In label encoding, labels are replaced by integers. So, it...

Let’s say we are reading the titanic dataset. As we learned from this article, we can use the following code to know the percentage of missing values in each column of the dataset. import seaborn df = seaborn.load_dataset("titanic") print(df.isnull().mean()*100) The...