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Machine Learning in R Programming

Track :

Programming

Lessons no : 7

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What will you learn in this course?
  • Master essential R programming syntax for machine learning applications in data analysis and predictive modeling
  • Apply popular R packages like caret, randomForest, and xgboost for effective machine learning workflows
  • Implement data preprocessing, feature selection, and data visualization techniques in R for improved model performance
  • Develop and evaluate machine learning models such as classification, regression, and clustering in R
  • Utilize R for real-world machine learning projects, including data cleaning, model tuning, and validation
  • Troubleshoot common issues in R machine learning workflows to ensure accurate and reliable results

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Lessons | 7


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Deborah 

Good
2025-05-19

Niveditha T 

You are doing a great thing
2025-02-28

Aryan Jadav 

Nice course
2025-02-24

KISHORE 

SUPER
2025-02-10

HARSH MODI 

happy
2024-03-09

ANSHUMAN RATH 

goof
2024-03-09

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You will pick-up the syntax very quickly. You do not need to be a good programmer. Getting good at using R is not about being a good programmer, it is about knowing which packages to use and how to use them well .