Machine Learning with R Tutorial | Machine Learning Algorithms | Edureka | Data Science Live - 2

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This "Machine Learning with R" video by Edureka will help you to understand the core concepts of Machine Learning followed by hands-on.
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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.
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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.
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Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka Data Science Masters Certification Curriculum, Visit our Website: bit.ly/37q65Oc
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[@kritti7991]

Your videos are so interesting and useful also thank you for explaining

[@mohdzaid6533]

How to install keras package in R for ANN

[@edurekaIN]

For installing Keras in R, first, we need to make sure we have DevTools installed so we can import the necessary packages, then install Keras.