Download Datacamp – Machine Learning Scientist with R 2023-11

Description

Machine Learning Scientist with R, the R training course for Machine Learning Scientist is published by Datacamp Academy. You will learn the skills necessary to get hired as a machine learning specialist. You will enhance your R programming skills with a toolbox to perform supervised and unsupervised learning. You will learn how to process data for modeling, train and visualize your models, and evaluate their performance and adjust their parameters for better performance. Next, you will learn about Bayesian statistics, natural language processing and Spark.

What you will learn

• Feature engineering in R
• Unsupervised learning in R
• machine learning
• Cluster analysis in R
• Machine learning with caret in R
• Modeling with tidymodels in R
• Machine learning with tree-based models in R
• Principles of machine learning in R
• Support for vector machines in R
• Basics of Bayesian data analysis in R
• Hyperparameter tuning in R
• Bayesian regression modeling with rstanarm
• Introducing Spark with sparklyr in R

Specifications of the Machine Learning Scientist with R course

• Publisher: Datacamp
• teacher : BRETT LANTZ
• English language
• Education level: all levels
• Number of courses: 16
• Training duration: 65 hours to complete the course

Chapters of the Machine Learning Scientist with R course

Pictures

Sample video

Installation guide

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English subtitle

Quality: 720p

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Supervised Learning in R Classification

Download – 199 MB

Supervised Learning in R Regression

Download – 108 MB

Feature Engineering in R

Download – 172 MB

Unsupervised Learning in R

Download – 59 MB

Machine Learning in the Tidyverse

Download – 106 MB

Intermediate Regression in R

Download – 65 MB

Cluster analysis in R

Download – 133 MB

Machine learning with caret in R

Download – 135 MB

Modeling with tidy models in R

Download – 98 MB

Machine Learning with Tree-Based Models in R

Download – 100 MB

Dimensionality Reduction in R

Download – 90 MB

Support Vector Machines in R

Download – 64 MB

Fundamentals of Bayesian Data Analysis in R

Download – 120 MB

Hyperparameter Tuning in R

Download – 69 MB

Bayesian Regression Modeling with rstanarm

Download – 71 MB

Introduction to Spark with sparklyr in R

Download – 17 MB

File(s) password: www.downloadly.ir

Size

1.57 GB