Izzy Weber
データサイエンスを応用する
Data Science & AI Code-Alongs
From data visualization to AI, code-along with experts as they solve real-world problems.
Work your way through an entire project with the help of a screencast, so you never get stuck.
カテゴリーを見つける
注目
AI開発者になる
講師の所属機関:
OpenAIとLangChainを使用したAIシステム構築
OpenAI APIとLangChainパッケージをマスターし、AIの概念実証を構築していきます。
GPTとPineconeでAIアプリケーションを開発
PineconeベクターデータベースとOpenAI APIを組み合わせ、長期記憶を持つチャットボットを構築します。
Hugging FaceでAIシステムを構築
Hugging FaceでオープンソースAIエコシステムの力を発見しましょう。
2名以上のトレーニングをお考えですか?DataCamp for Businessをお試しください
すべてのCode Along
Data Analysis
Exploring Air Force Personnel Data with Python
Learn how to answer questions about data using pandas and plotly packages.
Richie Cotton
Data Science
How to Explain Black-Box Machine Learning Models
Learn about the importance of model interpretation.
Serg Masis
Data Science
Sentiment Analysis and Prediction in Python
Learn how to build a machine learning model predicting sentiment.
Justin Saddlemyer
Data Analysis
Analyzing Carbon Footprints in SQL
In this code-along, we’ll use SQL to explore data of product carbon footprints.
Izzy Weber
Data Analysis
Analyzing Students’ Mental Health in SQL
Perform SQL querying and visualize results using Python Plotly.
Jasmin Ludolf
Data Visualization
Data Visualization in Python for Absolute Beginners
Learn the basics of how to create an interactive plot using Plotly.
Justin Saddlemyer
Data Science
Analyzing a Time Series of the Thames River in Python
Analyze in Python a time series that tracks the tide levels of the Thames River
Maham Khan
Data Analysis
Analyzing NASA Planetary Exploration Budgets in SQL
We're using SQL and DataCamp Workspace to explore a dataset on NASA's budget
Richie Cotton
Data Analysis
Analyzing Streaming Service Content in SQL
Learn to join data from multiple sources, and create no-code visualizations.
Justin Saddlemyer
Data Analysis
Exploring Astronaut Activities in SQL
In this live training, we use string cleaning to process and analyze a database
Justin Saddlemyer
Data Analysis
Exploring World Cup Data in Python
Learn to use a combination of SQL & Python to import, process, and analyze data
Filip Schouwenaars