Datacamp – Machine Learning Scientist with R 2023-11
Datacamp – Machine Learning Scientist with R 2023-11 Downloadly IRSpace
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Machine Learning Scientist with R, Master the essential skills to land a job as a machine learning scientist! You’ll augment your R programming skillset with the toolbox to perform supervised and unsupervised learning. You’ll learn how to process data for modeling, train your models, visualize your models and assess their performance, and tune their parameters for better performance. In the process, you’ll get an introduction to Bayesian statistics, natural language processing, and Spark.
What you’ll learn
- Feature Engineering in R
- Unsupervised Learning in R
- Machine Learning in the Tidyverse
- Intermediate Regression in R
- Cluster Analysis in R
- Machine Learning with caret in R
- Modeling with tidymodels in R
- Machine Learning with Tree-Based Models in R
- Dimensionality Reduction in R
- Support Vector Machines in R
- Fundamentals of Bayesian Data Analysis in R
- Bayesian Regression Modeling with rstanarm
- Introduction to Spark with sparklyr in R
Specificatoin of Machine Learning Scientist with R
- Publisher : Datacamp
- Teacher : BRETT LANTZ
- Language : English
- Level : All Levels
- Number of Course : 16
- Duration : 65 hours to complete the course
Content of Machine Learning Scientist with R
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Sample Clip
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Subtitle : English
Quality: 720p
Download Links
Supervised Learning in R Classification
Supervised Learning in R Regression
Feature Engineering in R
Unsupervised Learning in R
Machine Learning in the Tidyverse
Intermediate Regression in R
Cluster Analysis in R
Machine Learning with caret in R
Modeling with tidymodels in R
Machine Learning with Tree-Based Models in R
Dimensionality Reduction in R
Support Vector Machines in R
Fundamentals of Bayesian Data Analysis in R
Hyperparameter Tuning in R
Bayesian Regression Modeling with rstanarm
Introduction to Spark with sparklyr in R
File size
1.57 GB
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