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Join our Free Udemy Course on Machine Learning with R today! Start building your data science skills now!
The world of Machine Learning has transformed the way we interact with data, and R stands as one of the most powerful and accessible tools for data scientists. This course is meticulously designed to take you step-by-step from the fundamentals to the advanced implementation of Machine Learning models in R, with a practical and applicable focus.
You will start with a clear introduction to what Machine Learning is, the types of learning, and how to set up your work environment. From there, you will work with real data, learning to import, explore, transform, and scale variables to train robust and reliable models. You will learn how to build and evaluate regression models (Linear, Ridge, Lasso, Trees) and classification models (Logistic Regression, Trees, Random Forest, XGBoost). You will also master unsupervised clustering techniques such as K-Means and apply validation methods like confusion matrix, cross-validation, and specific metrics to assess your models’ performance.
Furthermore, you will discover how to optimize your models using Grid Search and deploy solutions in production using plumber to create APIs. As a bonus, you’ll learn how to integrate ChatGPT for code debugging and function explanations, accelerating your workflow and learning process. This course is perfect for students, professionals, and self-learners who want to delve into data science with R through structured training, real cases, and modern tools.
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