Professional Certificate in R: Machine Learning Basics
-- viewing nowThe Professional Certificate in R: Machine Learning Basics is a comprehensive course that provides learners with essential skills in machine learning using R, a popular programming language. This course is critical for professionals looking to advance their careers in data analysis, machine learning, and artificial intelligence.
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Course details
• Introduction to R:
• Data Structures in R: Vectors, Matrices, Lists, and Data Frames
• Basic Data Manipulation in R: Subsetting, Sorting, and Merging
• Data Visualization in R: Using ggplot2
• Introduction to Machine Learning: Supervised vs. Unsupervised Learning
• Regression Analysis in R: Simple and Multiple Linear Regression
• Classification Algorithms in R: Logistic Regression, Decision Trees, and Random Forest
• Model Evaluation Metrics in R: Accuracy, Precision, Recall, F1 Score, and ROC Curve
• Unsupervised Learning in R: Clustering and Dimensionality Reduction
• Advanced Topics: Ensemble Methods, Regularization, and Deep Learning in R
Career path
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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