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Complete Machine Learning with R Studio Course

Original price was: $10.00.Current price is: $5.00.

Price: 5.00 USD | Size: 5.49 GB | 3 Modules | Duration : 2 Hours |  ⭐️⭐️⭐️⭐️⭐️ 4.9

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Description

 

Introduction

Machine Learning R Studio is your complete guide to mastering data analysis, predictive modeling, and hands-on machine learning using R and RStudio. This comprehensive course is perfect for students and professionals who want practical skills to solve real-world data problems effectively.

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Course Description

This Complete Machine Learning with R Studio Course takes you from the fundamentals of data handling to building advanced predictive models. Throughout the course, you will work with real datasets, learn step-by-step coding in R, and explore how machine learning algorithms work behind the scenes. Additionally, the lessons include clear explanations, making complex concepts easy to understand.

As you progress, you will gradually develop the ability to clean data, visualize patterns, and build models that generate accurate results. Moreover, the course provides hands-on exercises that ensure practical skill development. Since all modules follow a structured learning path, you will stay focused and improve your confidence in data-driven decision making. Finally, you will be ready to apply your knowledge to real business problems and analytics projects.

What You’ll Learn

  • Introduction to R and RStudio
  • Data cleaning, preparation, and transformation
  • Data visualization with ggplot2
  • Supervised learning models (Regression, Classification)
  • Unsupervised learning techniques (Clustering, PCA)
  • Model evaluation and performance metrics
  • Handling large datasets and automation
  • Deployment of machine learning workflows

Requirements

  • Basic understanding of programming concepts
  • Interest in data science or analytics
  • A computer with R and RStudio installed

About the Publication

This course is created by experienced data science educators who specialize in machine learning and R programming. With years of industry and academic experience, they deliver practical, concise, and application-oriented content carefully designed for learners at all levels.


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