Skip to main content
Category
Topics

Machine Learning Tutorial

Get insights & best practices into AI & machine learning, upskill, and build data cultures. Learn how to get the most out of machine learning models with our tutorials.
Other topics:
Machine Learning

Understanding Model Predictions with LIME

Learn about Lime and how it works along with the potential pitfalls that come with using it.
DataCamp Team's photo

DataCamp Team

July 11, 2018

Machine Learning

Introduction to k-Means Clustering with scikit-learn in Python

In this tutorial, learn how to apply k-Means Clustering with scikit-learn in Python

Kevin Babitz

March 10, 2023

Machine Learning

Machine Learning and NLP using R: Topic Modeling and Music Classification

In this tutorial, you will build four models using Latent Dirichlet Allocation (LDA) and K-Means clustering machine learning algorithms.
Debbie Liske's photo

Debbie Liske

June 21, 2018

Python

Random Forest Classification with Scikit-Learn

This article covers how and when to use random forest classification with scikit-learn, focusing on concepts, workflow, and examples. We also cover how to use the confusion matrix and feature importances.
Adam Shafi's photo

Adam Shafi

October 1, 2024

Python

Absolute and Weighted Frequency of Words in Text

In this tutorial, you'll learn about absolute and weighted word frequency in text mining and how to calculate it with defaultdict and pandas DataFrames.
Elias Dabbas's photo

Elias Dabbas

April 24, 2018

Machine Learning

A Beginner's Guide to Object Detection

Explore the key concepts in object detection and learn how they are implemented in SSD and Faster RCNN, which are available in the Tensorflow Detection API.
Lars Hulstaert's photo

Lars Hulstaert

April 19, 2018

Machine Learning

K-Means Clustering in R Tutorial

Learn what k-means is and discover why it’s one of the most used clustering algorithms in data science
Eugenia Anello's photo

Eugenia Anello

March 21, 2023

R

Feature Selection in R with the Boruta R Package

Tackle feature selection in R: explore the Boruta algorithm, a wrapper built around the Random Forest classification algorithm, and its implementation!
DataCamp Team's photo

DataCamp Team

March 7, 2018

Machine Learning

Ensemble Learning in R with SuperLearner

Boost your machine learning results and discover ensembles in R with the SuperLearner package: learn about the Random Forest algorithm, bagging, and much more!
Daniel Gremmell's photo

Daniel Gremmell

February 20, 2018