Link to Content:

Cheat Sheet – 10 Machine Learning Algorithms & R Commands

Created/Published/Taught by:

Ajitesh Kuman

Content Found Via:

Dev Zum

Free? Yes

Tags: algorithms / classification / decision trees / linear regression / logistic regression / machine learning / neural networks / R

Content Type: Cheat Sheets / References, Learning Guides, Etc.

Difficulty Rating:

Difficulty Rating:

From Bytes Cravings:

“This article lists down 10 popular machine learning algorithms and related R commands (& package information) that could be used to create respective models. The objective is to represent a quick reference page for beginners/intermediate level R programmers who are working on machine learning related problems….

Following are the different ML algorithms included in this article:

- Linear Regression
- Logistic Regression
- K-Means Clustering
- K-Nearest Neighbors (KNN) Classification
- Naive Bayes Classification
- Decision Trees
- Support Vector Machine (SVM)
- Artificial Neural Network (ANN)
- Apriori
- AdaBoost”

Recommended Prerequisites: none specified

Go to Content: Cheat Sheet – 10 Machine Learning Algorithms & R Commands

Log in to post a review.