Welcome to the sixteenth episode of our AI & DS tutorial series in Tamil! In this video, we dive into the crucial step of data cleaning in machine learning and data preprocessing, which are essential for ensuring the quality and reliability of your data.

Data cleaning involves identifying and processing missing values, outliers, duplicates, and other inconsistencies in your data set. The right data cleaning techniques help improve the accuracy and reliability of your machine learning models.

Join us as we explore the intricacies of data cleaning and preprocessing in Tamil. Our expert instructor will guide you step-by-step through identifying and processing missing values, removing outliers, dealing with duplicates, and performing feature scaling and normalization.

In this tutorial, we will discuss various techniques and strategies for cleaning and preprocessing data in machine learning. You'll learn how to use Python libraries like Pandas and NumPy to effectively perform common data cleaning tasks.

Whether you are a beginner or have some experience with AI & DS, this tutorial is suitable for all levels. Our instructor provides clear explanations and practical examples in Tamil so that you can follow and understand the concepts effectively.

By the end of this video, you'll have a solid understanding of data cleaning and preprocessing techniques so you can prepare your data for machine learning models with confidence.

Don't miss this opportunity to improve your data cleaning and preprocessing skills! Hit the play button and join us on this informative journey in Tamil.

Don't forget to like, share and subscribe to our channel for more insightful tutorials in Tamil. Stay tuned for the next installment in our AI & DS series!

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