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Tecnologias
Tutorial de Python
Mantenha-se atualizado com as últimas notícias, técnicas e recursos para programação em Python. Nossos tutoriais estão repletos de orientações práticas e casos de uso que você pode usar para aprimorar suas habilidades.
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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
20 de julho de 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
19 de julho de 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
10 de março de 2023
Setup a Data Science Environment on your Computer
Learn about the various options you have to setup a data science environment with Python, R, Git, and Unix Shell on your local computer.
DataCamp Team
27 de junho de 2018
Reconstructing Brain MRI Images Using Deep Learning (Convolutional Autoencoder)
In this tutorial, you'll learn & understand how to read nifti format brain magnetic resonance imaging (MRI) images, reconstructing them using convolutional autoencoder.
Aditya Sharma
27 de junho de 2018
Reconstructing Fingerprint Images Using Deep Learning (Convolutional Autoencoder)
In this tutorial, you will learn and understand how to read jpeg format fingerprint images, reconstructing them using convolutional autoencoder.
Aditya Sharma
26 de junho de 2018
Using Python to Power Spreadsheets in Data Science
Learn how Python can be used more effectively than Excel, with the Pandas package.
Jason Graham
12 de junho de 2018
Python String to DateTime: How to Convert Strings to DateTime Objects
Learn how to convert strings to datetime objects in Python using strptime(), dateutil, and pandas with practical code examples.
Arunn Thevapalan
4 de fevereiro de 2026
Install Anaconda on macOS (2026): Apple Silicon, conda init, and Common Fixes
A practical guide to installing Anaconda on a Mac with native ARM64 support, verifying the download, initializing conda, and setting up clean environments.
DataCamp Team
28 de outubro de 2025
Custom Templates for Jupyter Notebooks with Jinja2
Learn how to create custom export templates for your Jupyter Notebooks using Jinja2.
Steph Howson
30 de maio de 2018
How to Install and Use Homebrew
Discover Homebrew for data science. Learn how you can use this package manager to install, update, and remove technologies such as Apache Spark and Graphviz.
DataCamp Team
23 de maio de 2018
Random Forest Classification in Python With Scikit-Learn: Step-by-Step Guide (with Code Examples)
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
3 de março de 2026