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Makine Öğrenimi Eğitimi
Yapay zekâ ve makine öğrenimi üzerine içgörüler ve en iyi uygulamaları edinin, yetkinliklerinizi artırın ve veri kültürleri oluşturun. Eğitimlerimizle makine öğrenimi modellerinden en iyi şekilde nasıl yararlanacağınızı öğrenin.
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2 veya daha fazla kişiyi mi eğitiyorsunuz?DataCamp for Business ürününü deneyin
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!
3 Ocak 2018
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.
21 Aralık 2017
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.
5 Aralık 2017
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.
19 Ekim 2017
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.
13 Ekim 2017
Detecting Fake News with Scikit-Learn
This scikit-learn tutorial will walk you through building a fake news classifier with the help of Bayesian models.
24 Ağustos 2017
Apache Spark Tutorial: ML with PySpark
Apache Spark tutorial introduces you to big data processing, analysis and ML with PySpark.
28 Temmuz 2017
Scikit-Learn Tutorial: Baseball Analytics Pt 2
A Scikit-Learn tutorial to using logistic regression and random forest models to predict which baseball players will be voted into the Hall of Fame
20 Haziran 2017
Scikit-Learn Tutorial: Baseball Analytics Pt 1
A scikit-learn tutorial to predicting MLB wins per season by modeling data to KMeans clustering model and linear regression models.
4 Mayıs 2017
Deep Learning with Jupyter Notebooks in the Cloud
This step-by-step tutorial will show you how to set up and use Jupyter Notebook on Amazon Web Services (AWS) EC2 GPU for deep learning.
23 Mart 2017
Preprocessing in Data Science (Part 3): Scaling Synthesized Data
You can preprocess the heck out of your data but the proof is in the pudding: how well does your model then perform?
10 Mayıs 2016
Preprocessing in Data Science (Part 2): Centering, Scaling and Logistic Regression
Discover whether centering and scaling help your model in a logistic regression setting.
3 Mayıs 2016