Loại
Chủ đề
Hướng dẫn Machine Learning
Nắm bắt insight và thực tiễn tốt nhất về AI và machine learning, nâng cao kỹ năng và xây dựng văn hóa dữ liệu. Tìm hiểu cách khai thác tối đa các mô hình machine learning với các hướng dẫn của chúng tôi.
Chủ đề khác:
Đào tạo từ 2 người trở lên?Hãy thử DataCamp for Business
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 tháng 5, 2018
Absolute and Weighted Frequency of Words in Text
In this tutorial, you'll learn about absolute and weighted word frequency in text mining and how to calculate it with defaultdict and pandas DataFrames.
Elias Dabbas
24 tháng 4, 2018
A Beginner's Guide to Object Detection
Explore the key concepts in object detection and learn how they are implemented in SSD and Faster RCNN, which are available in the Tensorflow Detection API.
Lars Hulstaert
19 tháng 4, 2018
K-Means Clustering in R Tutorial
Learn what k-means is and discover why it’s one of the most used clustering algorithms in data science
Eugenia Anello
21 tháng 3, 2023
Feature Selection in R with the Boruta R Package
Tackle feature selection in R: explore the Boruta algorithm, a wrapper built around the Random Forest classification algorithm, and its implementation!
DataCamp Team
7 tháng 3, 2018
Ensemble Learning in R with SuperLearner
Boost your machine learning results and discover ensembles in R with the SuperLearner package: learn about the Random Forest algorithm, bagging, and much more!
Daniel Gremmell
20 tháng 2, 2018
Active Learning: Curious AI Algorithms
Discover active learning, a case of semi-supervised machine learning: from its definition and its benefits, to applications and modern research into it.
DataCamp Team
9 tháng 2, 2018
Lyric Analysis with NLP & Machine Learning with R
Dive into the lyrics of Prince's music with R: use text mining and Exploratory Data Analysis (EDA) to shed insight on The Artist's career.
Debbie Liske
2 tháng 2, 2018
Transfer Learning: Leverage Insights from Big Data
In this tutorial, you’ll see what transfer learning is, what some of its applications are and why it is critical skill as a data scientist.
Lars Hulstaert
19 tháng 1, 2018
Machine Learning with Kaggle: Feature Engineering
Learn how feature engineering can help you to up your game when building machine learning models in Kaggle: create new columns, transform variables and more!
Hugo Bowne-Anderson
10 tháng 1, 2018
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 tháng 1, 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.
Hugo Bowne-Anderson
21 tháng 12, 2017