What you’ll learn
- learn all aspects of R from Basics, over Data Science, to Machine Learning and Deep Learning
- learn R basics (data types, structures, variables, and more)
- learn R programming (writing loops, functions, and more)
- data im- and export
- basic data manipulation (piping, filtering, aggregation of results, data reshaping, set operations, joining datasets)
- data visualisation (different packages are learned, e.g. ggplot, plotly, leaflet, dygraphs)
- advanced data manipulation (outlier detection, missing data handling, regular expressions)
- regression models (create and apply regression models)
- model evaluation (What is underfitting and overfitting? Why is data splitted into training and testing? What are resampling techniques?)
- regularization (What is regularization? How can you apply it?)
- classification models (understand different algorithms and learn how to apply logistic regression, decision trees, random forests, support vector machines)
- association rules (learn the apriori model)
- clustering (kmeans, hierarchical clustering, DBscan)
- dimensionality reduction (factor analysis, principal component analysis)
- Reinforcement Learning (upper confidence bound)
- Deep Learning (deep learning for multi-target regression, binary and multi-label classification)
- Deep Learning (learn image classification with convolutional neural networks)
- Deep Learning (learn about Semantic Segmentation)
- Deep Learning (Recurrent Neural Networks, LSTMs)
- More on Deep Learning, e.g. Autoencoders, pretrained models, …
- R/Shiny for web application development and deployment
How to Enroll R Ultimate 2024: R for Data Science and Machine Learning course?
How many members can access this course with a coupon?
R Ultimate 2024: R for Data Science and Machine Learning Course coupon is limited to the first 1,000 enrollments. Click 'Enroll Now' to secure your spot and dive into this course on Udemy before it reaches its enrollment limits!
