Data Preprocessing in ML: Scaling, Encoding, and Cleaning Explained! скачать в хорошем качестве

Data Preprocessing in ML: Scaling, Encoding, and Cleaning Explained!

Data preprocessing is a crucial step in building accurate and reliable machine learning models. In this video, we’ll walk you through the essential preprocessing techniques: scaling, encoding, and data cleaning. Whether you're new to ML or refining your pipeline, this video breaks down complex concepts in a simple, beginner-friendly way. 🔍 What You'll Learn: Why data preprocessing matters Feature scaling (Standardization, Normalization) Encoding categorical data (Label Encoding, One-Hot Encoding) Data cleaning (handling missing values, duplicates, outliers) Practical tips for preparing data for ML models 🎓 Perfect for: Students, data science beginners, and ML enthusiasts! 👍 Like, comment, and subscribe for more machine learning tutorials! 📌 Stay connected: #machinelearning #datapreprocessing #datascience #encoding #scaling #datacleaning #mlpipeline #mltutorial #AI #MLforBeginners