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Tutorial de Machine Learning
Obțineți perspective și bune practici despre AI și machine learning, perfecționați-vă și construiți culturi orientate spre date. Aflați cum să valorificați la maximum modelele de machine learning cu ajutorul tutorialelor noastre.
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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
21 aprilie 2025
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
24 iulie 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
20 iulie 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 iulie 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
17 iulie 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
11 iulie 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 martie 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
21 iunie 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
1 iunie 2023
TensorBoard Tutorial
Visualize the training parameters, metrics, hyperparameters or any statistics of your neural network with TensorBoard!
Thushan Ganegedara
6 iunie 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 martie 2026
Demystifying Generative Adversarial Nets (GANs)
Learn what Generative Adversarial Networks are without going into the details of the math and code a simple GAN that can create digits!
DataCamp Team
9 mai 2018