Data Preparation for Machine Learning (Full Course with Python) | AIML Course

📂 Datasets: Dataset links for each topic/video are available in the pinned comments of their respective videos, Check the Playlist. 00:00 Introduction 00:01 Handling Missing Values 13:02 Handling Duplicate Data 20:42 Replace Values & Datatypes 32:42 Encoding Techniques 45:01 One Hot Encoding 1:03:55 Outlier Detection & Removal 1:33:45 Normalization 1:46:57 Standardization 1:59:03 Function Transformer 2:09:48 Feature Selection In this complete Data Preprocessing Full Course, we cover all the essential data preparation techniques required before building Machine Learning models. This course includes both theory and practical implementation using Python. 💻 Tools Used: • Python • Pandas • NumPy • Scikit-learn This video is part of the AIML Course by NexTechX, where emerging technologies and Machine Learning are explained in a simple and practical way. 🔔 Subscribe for more AI/ML tutorials and full courses. www.youtube.com/@UCwyO9DDxS11azcManaNp3Rw #MachineLearning #Python #DataPreprocessing #DataScience #AIML #FullCourse