Tools for Data Preprocessing and Model Development

Machine learning is a robust field that converts raw data into usable information. The process of transformation takes place in two stages:

• Data preprocessing

• Model development

Let’s look at the tools and techniques used in these two important stages.

Data preprocessing

Data preprocessing is an important stage in the machine learning pipeline that transforms, cleans, and organizes raw data to make it useful for training machine learning models. This phase is important because the quality of the data we include in our models directly affects their performance.

Here’s a list of common tools for data preprocessing ...