Скачать или смотреть Complete Data Preprocessing for Machine Learning | Step-by-Step Guide for Beginners In Telugu

In this video, we’ll cover the complete process of data preprocessing—the most important step before building any Machine Learning model. Whether you are a beginner or revising your ML concepts, this session will help you understand how to prepare raw data for analysis and modeling.

👉 Topics Covered:

Understanding raw data and why preprocessing is needed

Data cleaning (handling missing values, duplicates, outliers)

Exploratory Data Analysis (EDA) basics

Feature engineering and feature scaling

Encoding categorical variables

Train/Test split for modeling

By the end of this video, you’ll have a clear idea of how to take raw data and turn it into a clean, structured dataset ready for ML models.

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📩 Drop your questions in the comments — I’ll be happy to answer.