In this blog post, we have covered the concept of categorical data and explored methods for handling them.

In this blog post, we have covered the concept of missing data and explored methods for handling them.

In this blog post, we have covered the concept of identifiers and explored methods for handling them.

In this blog post, we have covered the concept of uncommon features and explored methods for identifying and handling such features.

In this blog post, we have explored methods for splitting data using sklearn train_test_split function.

In this blog post, we have explored methods for loading small and large CSV files into memory using pandas read_csv function.

In this blog post, we have outlined the data preprocessing pipeline for both regression and classification.

In this blog post, we have provided an overview of machine learning and its various types.