Elevate Your Data Skills: Dive into Machine Learning with R

The world of Machine Learning has transformed how we interact with data, and R remains one of the most powerful and accessible tools for data scientists. This course is designed to guide you step by step from the fundamentals to advanced implementation of Machine Learning models in R, with a practical and applicable approach. You’ll begin with a clear introduction to what Machine Learning is, the types of learning, and how to set up your working environment.

As the course progresses, you will work with real data, learning to import, explore, transform, and scale variables to train robust and reliable models. You’ll learn to build and evaluate regression models (Linear, Ridge, Lasso, Trees) and classification models (Logistic Regression, Trees, Random Forest, XGBoost). Moreover, you’ll master unsupervised clustering techniques like K-Means, applying validation methods such as confusion matrices, cross-validation, and specific metrics to evaluate your model performance.

Additionally, you’ll discover how to optimize your models through Grid Search and implement production solutions using plumber to create APIs. As a bonus, you’ll learn to integrate ChatGPT for code debugging and function explanation, accelerating your workflow and learning. This course is ideal for students, professionals, and self-learners who wish to delve into data science with R through structured training, real cases, and modern tools.

What you will learn:

• Understand the fundamentals of Machine Learning and its applications
• Build and evaluate various predictive models using R
• Optimize models and implement solutions in production environments

Course Content:

• Sections: 10
• Lectures: 40
• Duration: 15 hours

Requirements:

• Basic programming knowledge in R
• Familiarity with basic statistics concepts (regression, variables, distributions)
• It is recommended to have R and RStudio installed
• No prior experience in Machine Learning is needed
• Ideal for those starting with R and Machine Learning

Who is it for?

• Data analysts and scientists looking to start with Machine Learning using R
• Students in technical or scientific careers interested in AI
• Professionals working with data who want to apply predictive and classification models
• Self-learners seeking a practical and structured introduction to Machine Learning

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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