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Ensemble Learning Tutorial | Ensemble Techniques | Machine Learning Training | Edureka

🔥Machine Learning Training with Python: https://www.edureka.co/machine-learni... This Edureka video on Ensemble Learning covers the basics of Ensemble Learning Methods. You will learn about the underlying working of Boosting, Bagging, and Voting algorithms. The video will make you learn how to create a model using Ensemble Learning validate it using cross-validation. These are the following topics that are covered in this Ensemble Learning Tutorial video:- 00:00:00 Introduction 00:00:47 What is Ensemble learning? 00:01:49 Need For Ensemble Learning 00:02:31 Bias - Variance Tradeoff 00:04:03 Ensemble Learning Techniques 00:09:00 Ensemble Learning In Action 🔹Checkout Edureka's Machine Learning Python Tutorial playlist: https://bit.ly/3szLTCO 🔹Checkout Edureka's Machine Learning R Tutorial Playlist: https://bit.ly/3duYGlF 🔹Checkout Edureka's Machine Learning Tutorial Blog Series: https://bit.ly/2PX5lIp 🔴Please do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV -------Edureka Online Training and Certification---------- 🔵 DevOps Online Training: https://bit.ly/2BPwXf0 🟣 Python Online Training: https://bit.ly/2CQYGN7 🔵 AWS Online Training: https://bit.ly/2ZnbW3s 🟣 RPA Online Training: https://bit.ly/2Zd0ac0 🔵 Data Science Online Training: https://bit.ly/2NCT239 🟣 Big Data Online Training: https://bit.ly/3g8zksu 🔵 Java Online Training: https://bit.ly/31rxJcY 🟣 Selenium Online Training: https://bit.ly/3dIrh43 🔵 PMP Online Training: https://bit.ly/3dJxMTW 🟣 Tableau Online Training: https://bit.ly/3g784KJ -------------Edureka Masters Programs--------------- 🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi 🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ 🔵Data Scientist Masters Program: https://bit.ly/2YHaolS 🟣Big Data Architect Masters Program: https://bit.ly/31qrOVv 🔵DevOps Engineer Masters Program: https://bit.ly/2B9tZCp 🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2 🔵Python Developer Masters Program: https://bit.ly/2Vn7tgb 🟣RPA Developer Masters Program: https://bit.ly/3eHwPNf ----------------Edureka PGP Courses-------------- 🔵Artificial and Machine Learning PGP: https://bit.ly/2Ziy7b1 🟣CyberSecurity PGP: https://bit.ly/3eHvI0h 🔵Digital Marketing PGP: https://bit.ly/38cqdnz 🟣Big Data Engineering PGP: https://bit.ly/3eTSyBC 🔵Data Science PGP: https://bit.ly/3dIeYV9 🟣Cloud Computing PGP: https://bit.ly/2B9tHLP -------------------- Twitter:   / edurekain   LinkedIn:   / edureka   Instagram:   / edureka_learning   Facebook:   / edurekain   SlideShare: https://www.slideshare.net/EdurekaIN Castbox: https://castbox.fm/networks/505?count... Meetup: https://www.meetup.com/edureka/ #Edureka #EnsembleLearning #EnsembleLearningInMachineLearning #WhatIsEnsembleLearning #MachineLearningTraining #Python How it Works? 1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate About the Course : Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Why Learn Machine Learning with Python? Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning. Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free)