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Description of  Preprocessing with scikitlearn A Complete Guide

2023 Created by Jitendra Singh MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 6 Lectures ( 2h 29m ) | Size: 679 MB Data Preprocessing for Machine Learning with Python's scikit-learn Library What you'll learn Gain a deep understanding of data preprocessing using scikit-learn. Learn essential techniques to clean, transform, and prepare data for machine learning tasks. Engage in hands-on projects and practical examples for real-world application. Enhance the performance of machine learning models through effective data preprocessing. Requirements Basic understanding of Python programming. Familiarity with data manipulation concepts. Some exposure to machine learning fundamentals (beneficial but not mandatory). Willingness to explore and experiment with scikit-learn's preprocessing capabilities. Description Who this course is for Aspiring data scientists and machine learning enthusiasts. Beginners seeking a strong foundation in data preprocessing. Experienced practitioners aiming to enhance their skills with scikit-learn.Published 7