Izzy Weber
应用数据科学
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.
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成为 AI 开发者
由来自以下机构的讲师授课:
使用 OpenAI 和 LangChain 构建 AI 系统
掌握 OpenAI API 和 LangChain 包,并在过程中构建 AI 概念验证。
使用 GPT 和 Pinecone 开发 AI 应用
结合 Pinecone 向量数据库和 OpenAI API 的力量,构建具有长期记忆的聊天机器人。
使用 Hugging Face 构建 AI 系统
通过 Hugging Face 发现开源 AI 生态系统的力量。
培训 2 人或更多?试试 DataCamp for Business
所有编程跟练
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