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Machine Learning Scientist in R Data Camp

Highlights
Tuition fee
Free
Free
Free
Unknown
Tuition fee
Free
Free
Free
Unknown
Duration
8 days
Duration
8 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

A machine learning scientist researches new approaches and builds machine learning models with this Machine Learning Scientist in R course offered by Data Camp.

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

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • New York City, United States

What students do after studying

Join for free or log in to access our complete career info list.

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

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free
  • Domestic

    In-State
    Free

Additional Details

This course can be accessed for free with the Data Camp Premium or Teams subscriptions

Funding

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