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Machine Learning With R Full Course | Machine Learning Tutorial For Beginners | Edureka

🔥Data Scientist Masters Program: https://www.edureka.co/masters-progra... This "Machine Learning with R Full Course With R " video by Edureka will help you to understand the core concepts of Machine Learning and tell you how you can implement popular Machine Learning algorithms using R. Following pointers are covered in this Machine Learning With R Full Course: 00:00:00 Introduction What is Machine Learning Machine Learning Steps Types of Machine Learning What is Regression? Logistic Regression Use Case Linear Regression Use Case What is KNN Algorithm? KNN Algorithm Step-by-Step What is SVM & How does it work? What is K-Means Clustering & How does it work? Naive Bayes Fundamentals What is Classification & Types of Classifiers How do Decision Trees & Random Forest work? What is Time Series Analysis? How does Sentiment Analysis work? What is Data Mining & its Tasks How to perform Data Mining using R Machine Learning Projects How to become a ML Engineer Interview Questions 🔹Check Edureka's Machine Learning Tutorial Playlist: https://bit.ly/3byztDp 🔹Checkout Edureka's Machine Learning Tutorial Blog series: https://bit.ly/34YXH7n 🔴Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV ----------Edureka Online Training and Certification------------ 🟣 Python Online Training: https://bit.ly/2CQYGN7 🔵 Data Science Online Training: https://bit.ly/2NCT239 🟣 Big Data Online Training: https://bit.ly/3g8zksu -------Edureka Masters Programs------ 🔵Data Scientist Masters Program: https://bit.ly/2YHaolS 🟣Big Data Architect Masters Program: https://bit.ly/31qrOVv 🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi 🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2 🔵Python Developer Masters Program: https://bit.ly/2Vn7tgb ------Edureka PGP Courses------ 🔵Artificial and Machine Learning PGP: https://bit.ly/2Ziy7b1 🟣Big Data Engineering PGP: https://bit.ly/3eTSyBC 🔵Data Science PGP: https://bit.ly/3dIeYV9 --------------------------- 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 #EdurekaMachineLearning #MachineLearningWithR #MachineLearningFullCourse #DataScienceEdureka #machinelearningalgorithms #whatisdatascience #WhatisMachineLearning ------------------------- About the Master's Program This program follows a set structure with 6 core courses and 8 electives spread across 26 weeks. It makes you an expert in key technologies related to Data Science. At the end of each core course, you will be working on a real-time project to gain hands on expertise. By the end of the program you will be ready for seasoned Data Science job roles. - - - - - - - - - - - - - Topics Covered in the curriculum: Topics covered but not limited to will be : Machine Learning, K-Means Clustering, Decision Trees, Data Mining, Python Libraries, Statistics, Scala, Spark Streaming, RDDs, MLlib, Spark SQL, Random Forest, Naïve Bayes, Time Series, Text Mining, Web Scraping, PySpark, Python Scripting, Neural Networks, Keras, TFlearn, SoftMax, Autoencoder, Restricted Boltzmann Machine, LOD Expressions, Tableau Desktop, Tableau Public, Data Visualization, Integration with R, Probability, Bayesian Inference, Regression Modelling etc. - - - - - - - - - - - - - For more information, please write back to us at [email protected] or call us at: IND: 9606058406 / US: 18338555775 (toll free)