R Complete: Data Science, Machine Learning & Neural Networks
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R is a functional, dynamic and object-oriented programming language that is widely used especially in the areas of data science and machine learning. It stands out from other programming languages through special possibilities for visualizing data as well as through practical data structures and functions that have been specifically designed for statistical calculations.
This course is characterized by a high practical relevance. To deeply internalize the content, the initial theory is supported by many examples and projects, such as visualizing the spread of coronavirus, analyzing salaries or creating a model for diabetes. In addition to the programming language itself, important associated tools are also taught.
The course is divided into four major blocks:
R Basics:
- The RStudio development environment
- Functions
- Variables, ...
Data Science:
- Reading in data
- Creating clear visualizations
- Creating PDF reports
- Various practical examples
Machine Learning with caret:
- Regression
- Classification
- Extracting data from text through Natural Language Processing
- Various practical examples
Deep Learning:
- Training a simple neural network
- Neural networks with multiple layers
- Application to a practical example for image recognition
After completing the course, participants are able to independently evaluate data, train machine learning models, create PDF reports and extract data from websites. In addition, participants are enabled to use R for questions from machine learning or deep learning.