Handledningar i maskininlärning

Få insikter och beprövade metoder inom AI och maskininlärning, höj kompetensen och bygg datadrivna kulturer. Lär dig hur du får ut mesta möjliga av maskininlärningsmodeller med våra handledningar.

Andra ämnen:

AI för företagBig DataData engineeringData scienceDataanalysDatastyrningDatavisualiseringDeep LearningMLOps

Tränar du 2 eller fler personer?Prova DataCamp for Business

Machine Learning

Kaggle Tutorial: Your First Machine Learning Model

Learn how to build your first machine learning model, a decision tree classifier, with the Python scikit-learn package, submit it to Kaggle and see how it performs!

Hugo Bowne-Anderson

3 januari 2018

Python

Kaggle Tutorial: EDA & Machine Learning

In this Kaggle tutorial, you'll learn how to approach and build supervised learning models with the help of exploratory data analysis (EDA) on the Titanic data.

Hugo Bowne-Anderson

21 december 2017

Python

Convolutional Neural Networks in Python with Keras

In this tutorial, you’ll learn how to implement Convolutional Neural Networks (CNNs) in Python with Keras, and how to overcome overfitting with dropout.

Aditya Sharma

5 december 2017

Machine Learning

LDA2vec: Word Embeddings in Topic Models

Learn more about LDA2vec, a model that learns dense word vectors jointly with Dirichlet-distributed latent document-level mixtures of topic vectors.

Lars Hulstaert

19 oktober 2017

Python

Web Scraping & NLP in Python

Learn to scrape novels from the web and plot word frequency distributions; You will gain experience with Python packages requests, BeautifulSoup and nltk.

Hugo Bowne-Anderson

13 oktober 2017

Python