Tools for Data Preprocessing and Model Development
Explore essential tools and libraries used for data preprocessing and model development in machine learning. Understand how these tools prepare data and support building models that solve real-world problems in AI.
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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 in machine learning:
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