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머신 러닝 튜토리얼
AI와 머신 러닝에 대한 인사이트와 모범 사례를 확인하고, 역량을 강화하며, 데이터 문화를 구축하세요. 튜토리얼로 머신 러닝 모델을 최대한 활용하는 방법을 배우세요.
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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
2018년 4월 24일
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
2018년 4월 19일
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
2023년 3월 21일
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
2018년 3월 7일
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
2018년 2월 20일
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
2018년 2월 9일
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
2018년 2월 2일
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
2018년 1월 19일
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
2018년 1월 10일
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
2018년 1월 3일
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
2017년 12월 21일
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
2017년 12월 5일