#### Supervised Learning in R: Classification

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

28 results

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

4 hours
Machine Learning
Brett Lantz
Course

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

4 hours
Machine Learning
John Mount
Course

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 hours
Machine Learning
Dmitriy Gorenshteyn
Course

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

4 hours
Machine Learning
Zachary Deane-Mayer
Course

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

4 hours
Machine Learning
Hank Roark
Course

Learn the bag of words technique for text mining with R.

4 hours
Machine Learning
EDWARD KWARTLER
Course

In this course, you'll learn how to use tree-based models and ensembles for regression and classification.

4 hours
Machine Learning
Gabriela de Queiroz
Course

Leverage the tools in the tidyverse to generate, explore and evaluate machine learning models.

5 hours
Machine Learning
Dmitriy Gorenshteyn
Course

Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.

4 hours
Machine Learning
Kasey Jones
Course

Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.

4 hours
Machine Learning
EDWARD KWARTLER
Course

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

4 hours
Machine Learning
Kailash Awati
Course

Learn how to fit topic models using the Latent Dirichlet Allocation algorithm.

4 hours
Machine Learning
Pavel Oleinikov
Course

In this course you'll learn how to use data science for several common marketing tasks.

4 hours
Machine Learning
Verena Pflieger
Course

Develop your intuition for when to reduce dimensionality in your data, and master the fundamentals of how to do so in R.

4 hours
Machine Learning
Alexandros Tantos
Course

Learn how to use TensorFlow, a state-of-the-art machine learning framework that specializes in the ability to develop deep learning neural networks.

4 hours
Machine Learning
Colleen Bobbie
Course

Learn how to apply advanced dimensionality techniques such as t-SNE and GLRM.

4 hours
Machine Learning
Federico Castanedo
Course

Learn to detect fraud with analytics in R.

4 hours
Machine Learning
Bart Baesens
Course

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

4 hours
Machine Learning
Shirin Elsinghorst (formerly Glander)
Course

Learn a variety of feature engineering techniques to develop meaningful features that will uncover useful insights about your machine learning models.

4 hours
Machine Learning
Jose Hernandez
Course

Prepare for your upcoming machine learning interview by working through these practice questions that span across important topics in machine learning.

4 hours
Machine Learning
Rafael Falcon
Course

Use tree-based machine learning methods to identify the characteristics of legendary Pokémon.

45 minutes
Machine Learning, Data Manipulation...
Joshua Feldman
Project
guided

Predict the impact of climate change on bird distributions using spatial data and machine learning.

45 minutes
Machine Learning, Data Manipulation...
Laurens Geffert
Project
guided

Use cluster analysis to glean insights into cryptocurrency gambling behavior.

45 minutes
Machine Learning, Data Manipulation...
Eric Hare
Project
guided

Apply unsupervised learning techniques to help plan an education program in Argentina.

45 minutes
Machine Learning, Data Manipulation...
Rafael La Buonora
Project
guided

Explore the salary potential of college majors with a k-means cluster analysis.

45 minutes
Machine Learning, Data Manipulation...
Jaclyn Burge
Project
guided

Experiment with clustering algorithms to help doctors inform treatment for heart disease patients.

45 minutes
Machine Learning, Data Manipulation...
Megan Robertson
Project
guided

Use regression trees and random forests to find places where New York taxi drivers earn the most.

45 minutes
Machine Learning, Data Visualization...
Robert Grant
Project
guided

How can we find a good strategy for reducing traffic-related deaths?

60 minutes
Machine Learning, Data Manipulation...
Joel Östblom
Project
guided