R Ultimate 2024: R for Data Science and Machine Learning

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  • At udemy.com you can purchase R Ultimate 2024: R for Data Science and Machine Learning for only $74.99
  • The lowest price of R Ultimate 2024: R for Data Science and Machine Learning was obtained on November 2, 2024 8:15 pm.

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Last updated on November 2, 2024 8:15 pm
R Ultimate 2024: R for Data Science and Machine Learning
R Ultimate 2024: R for Data Science and Machine Learning

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R Ultimate 2024: R for Data Science and Machine Learning

★★★★★
$74.99  in stock
Udemy.com
as of November 2, 2024 8:15 pm

R Basics, Data Science, Statistical Machine Learning models, Deep Learning, Shiny and much more (All R code included)

Created by: Bert Gollnick
Data Scientist
Rating:4.65 (209reviews)     2939students enrolled

What Will I 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

Requirements

  • no prior knowledge required - just be passionate to gain new skills

Target audience

  • R beginners interested in learning R
  • data science practitioners who want to deepen their knowledge
  • developers who want to learn different aspects of Machine Learning

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