Emanuel Raptis has completed

Machine Learning Scientist

Start Track for Free

57hrs

Loved by learners at thousands of companies

Supervised Learning in R: Classification

In this course you will learn the basics of machine learning for classification.

4 hr

Supervised Learning in R: Regression

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

4 hr

Feature Engineering in R

Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.

4 hr

Unsupervised Learning in R

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

4 hr

Machine Learning in the Tidyverse

Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

5 hr

Intermediate Regression in R

Learn to perform linear and logistic regression with multiple explanatory variables.

4 hr

Cluster Analysis in R

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

4 hr

Machine Learning with caret in R

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

4 hr

Modeling with tidymodels in R

Learn to streamline your machine learning workflows with tidymodels.

4 hr

Machine Learning with Tree-Based Models in R

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

4 hr

Machine Learning Fundamentals in R

Dimensionality Reduction in R

Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

4 hr

Support Vector Machines in R

This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

4 hr

Fundamentals of Bayesian Data Analysis in R

Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

4 hr

Hyperparameter Tuning in R

Learn how to tune your model's hyperparameters to get the best predictive results.

4 hr

Bayesian Regression Modeling with rstanarm

Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.

4 hr

Predicting Movie Rental Durations

Build a regression model for a DVD rental firm to predict rental duration. Evaluate models to recommend the best one.

2 hr

Introduction to Spark with sparklyr in R

Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.

4 hr

AI ASSISTANTSign up to use the AI AssistantOur AI assistant is free to use for all registered users. Sign up or login to access the assistant and boost your learning experience.

Discover

For Business

Training 2 or more people?

Get your team access to the full DataCamp platform, including all the features.

Instructors

Brett LantzSenior Data Scientist at Sony PlayStation
Nina ZumelCo-founder, Principal Consultant at Win-Vector, LLC
John MountCo-founder, Principal Consultant at Win-Vector, LLC
Jorge ZazuetaResearch Professor

Join over 19,440,000 learners and start Machine Learning Scientist in R today!

Create Your Free Account

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.

Machine Learning Scientist

Loved by learners at thousands of companies

.css-10r9e5n{-webkit-margin-end:8px;margin-inline-end:8px;}.css-1309hh9{-webkit-flex-shrink:0;-ms-flex-negative:0;flex-shrink:0;-webkit-margin-end:8px;margin-inline-end:8px;}Training 2 or more people?

Instructors

Join over .css-djf8xx{color:#03EF62;}19,440,000 learners and start Machine Learning Scientist in R today!

Create Your Free Account

Training 2 or more people?

Join over 19,440,000 learners and start Machine Learning Scientist in R today!