Understanding Machine Learning with R 3
Learn machine learning with R! Build prediction solutions step-by-step. Perfect for beginners to data science.
Course Content
Understanding Machine Learning with R 3 is a beginner-level Pluralsight course taught by Jerry Kurata. It runs 1h 25m, is taught in English, and includes a certificate of completion. Learners rate it 4.6 out of 5 from 316 reviews. It is a paid course, first published June 2024.
Unlock the power of Machine Learning and learn to predict events with data! This course guides you through the essential steps used by developers and Data Scientists to build predictive models.
You'll discover:
- Problem Formulation: Learn how to effectively structure your challenges to make them suitable for Machine Learning solutions.
- Data Acquisition: Find reliable sources for the data you need to train your models.
- Algorithm Integration: Combine your data with powerful Machine Learning algorithms to create predictive models.
We'll use R, a leading Machine Learning language, throughout the course. No prior R experience is necessary – we'll start from the basics! Gain practical skills in predictive analytics and data-driven decision-making. This course is perfect for anyone looking to enter the field of data science or enhance their data analysis capabilities.
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