Overview
Context
Master the essential skills to land a job as a machine learning scientist! With this Machine Learning Scientist in R course at Data Camp 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.
This track will equip you with the in-depth knowledge of R programming and machine learning algorithms. You will learn about supervised and unsupervised learning, data processing for modeling, training and visualizing models, assessing performance, tuning parameters, Bayesian statistics, natural language processing, and Spark.
Programme Structure
Courses:
- Supervised Learning in R: Classification
- Supervised Learning in R: Regression
- Feature Engineering in R
- Unsupervised Learning in R
- Machine Learning in the Tidyverse
Key information
Duration
- Part-time
- 8 days
Start dates & application deadlines
Language
Delivered
Campus Location
- New York City, United States
Disciplines
Statistics Machine Learning View 207 other Short Courses in Machine Learning in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- There are no prerequisites for this track.
- This track is not suitable for absolute beginners. This track is designed for students who are already familiar with R programming and have a basic understanding of machine learning. Before starting this track, we recommend that users should have a basic understanding of statistics, linear algebra, and calculus
Tuition Fees
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions