数据科学教程

通过我们的数据科学教程推动您的数据职业发展。我们将带您一步步完成具有挑战性的数据科学函数与模型。

其他主题：

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

2018年1月3日

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

2017年12月21日

Five Tips to Improve your R Code

Five useful tips that you can use to effectively improve your R code, from using seq() to create sequences to ditching which() and much more!

Simon Jackson

2017年12月13日

AWS EC2 Tutorial For Beginners

Discover why you should use Amazon Web Services Elastic Compute Cloud (EC2) and how you can set up a basic data science environment on a Windows instance.

DataCamp Team

2017年12月6日

R Formula Tutorial

Discover the R formula and how you can use it in modeling- and graphical functions of well-known packages such as stats, and ggplot2.

Karlijn Willems

2017年11月23日

Pipes in R Tutorial For Beginners

Learn more about the famous pipe operator %>% and other pipes in R, why and how you should use them and what alternatives you can consider!

Karlijn Willems

2022年12月21日

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

2017年10月13日

Hierarchical indices, groupby and pandas

In this tutorial, you’ll learn about multi-indices for pandas DataFrames and how they arise naturally from groupby operations on real-world data sets.

Hugo Bowne-Anderson

2023年3月31日

Groupby, split-apply-combine and pandas

In this tutorial, you'll learn how to use the pandas groupby operation, which draws from the well-known split-apply-combine strategy, on Netflix movie data.

Hugo Bowne-Anderson

2017年9月26日