Machine Learning with R - R Programming For Data Science | Lecture Notes - YNetStudyHub
R Programming For Data Science

Machine Learning with R

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An overview of machine learning algorithms (classification, regression, clustering) and how to implement them in R using libraries like caret and randomForest.

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Machine Learning with R 1. Introduction to Machine Learning Machine Learning is a branch of Artificial Intelligence that enables systems to learn from data and make decisions or predictions without being explicitly programmed. R is a popular programming language and environment for statistical computing and graphics, widely used for data analysis and machine learning tasks. 2. Key Concepts in Ma...…

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Unit Syllabus 28 Topics
1
Introduction to R Programming
Data Types and Data Structures in R
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Data Manipulation with dplyr
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Data Visualization with ggplot2
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Working with External Data Sources
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Statistical Analysis with R
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Machine Learning Basics in R
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Text Mining and Natural Language Processing in R
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Time Series Analysis in R
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R Markdown for Reproducible Research
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Introduction to R Programming
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Data Types and Data Structures in R
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Control Structures and Functions in R
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Data Import and Export in R
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Data Wrangling and Cleaning
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Data Visualization with ggplot2
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Statistical Analysis with R
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Machine Learning with R
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Reporting and Presenting Results
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Best Practices and Advanced Topics
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Introduction to R Programming
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Data Manipulation in R
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Data Visualization with ggplot2
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Statistical Analysis in R
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Working with APIs and Web Scraping in R
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Machine Learning Basics in R
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Text Mining and Natural Language Processing in R
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Shiny App Development
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