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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.
K-Nearest Neighbors (KNN) Classification with scikit-learn
This article covers how and when to use k-nearest neighbors classification with scikit-learn. Focusing on concepts, workflow, and examples. We also cover distance metrics and how to select the best value for k using cross-validation.
Adam Shafi
February 20, 2023
Web Scraping using Python (and Beautiful Soup)
In this tutorial, you'll learn how to extract data from the web, manipulate and clean data using Python's Pandas library, and data visualize using Python's Matplotlib library.
Sicelo Masango
July 26, 2018
Hierarchical Clustering in R
Clustering is the most common form of unsupervised learning, a type of machine learning algorithm used to draw inferences from unlabeled data.
DataCamp Team
July 24, 2018
Autoencoder as a Classifier using Fashion-MNIST Dataset Tutorial
In this tutorial, you will learn & understand how to use autoencoder as a classifier in Python with Keras. You'll be using Fashion-MNIST dataset as an example.
Aditya Sharma
July 20, 2018
Detecting True and Deceptive Hotel Reviews using Machine Learning
In this tutorial, you’ll use a machine learning algorithm to implement a real-life problem in Python. You will learn how to read multiple text files in python, extract labels, use dataframes and a lot more!
Aditya Sharma
July 19, 2018
Common Data Science Pitfalls & How to Avoid them!
In this tutorial, you'll learn about some pitfalls you might experience when working on data science projects "in the wild".
DataCamp Team
July 17, 2018
Understanding Model Predictions with LIME
Learn about Lime and how it works along with the potential pitfalls that come with using it.
DataCamp Team
July 11, 2018
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 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
June 21, 2018
Predicting the Status of H-1B Visa Applications
Learn how you can predict the status of a H-1B visa application with Machine Learning in Python.
Deepak Jhanji
June 20, 2018
Decision Trees in Machine Learning Using R
A comprehensive guide to building, visualizing, and interpreting decision tree models with R.
Arunn Thevapalan
James Le
June 1, 2023
TensorBoard Tutorial
Visualize the training parameters, metrics, hyperparameters or any statistics of your neural network with TensorBoard!
Thushan Ganegedara
June 6, 2018