Скачать или смотреть Data preprocessing for data analysis for beginners!!!

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In this video, we’ll walk you through essential data preprocessing steps that every data analyst and aspiring data scientist should know. This tutorial is crafted specifically for beginners, covering the foundational techniques to make raw data ready for model building or deeper data analysis. We’ll demonstrate imputation for handling missing values, feature extraction for numerical and categorical data, and the vital steps of encoding and normalization to transform your data.

If you’re new to data science for beginners or wondering how to learn data science, this video will introduce you to the practical techniques that real-world data analysis requires. Understanding these data preprocessing steps is essential for anyone preparing for a data science interview or those aiming to think like a data analyst when approaching machine learning and analysis tasks. By the end, you’ll be ready to confidently prepare data for machine learning algorithms, making this a great starting point on your data science journey.

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