Data Science
Showing 1549–1560 of 1577 results
Web Scraping mit Python & Selenium – Grundlagen & Use Cases
Grundlagen von XPath und Selenium für die Daten-Extraktion aus dem Web
Web Scraping with Beautiful Soup for Data Science
From Beginner to Advanced | 3 Hands-On Projects
What I’ve Learned from Advising 400+ Data Science Projects
During this session, Alice Zhao will share anecdotes that have led to some surprising findings.
What’s for Dinner? Meaningful Choice through Data Science
In this session, we will discuss how recipe kit delivery company Gousto is using Data Science to offer meaningful choice to our customers.
Who is Afraid of the Big Bad Data Wolf?
This session will explore fears around the use of data and how strategic data governance can give people the confidence to be curious and explore data.
Winning Techniques for Your Next Kaggle Data Science Contest
Get ahead in Kaggle competitions with expert techniques. Learn data preparation, feature engineering, model selection, and ensemble methods to boost your ranking and performance in data science challenges.
Women in Analytics Speaker Q&A Day 1
Day 1 Speaker Q&A with Emily Schlesinger, Nicole Alexander, and Katie Sass-Schafer at the 2019 Women in Analytics Conference.
Women in Analytics Speaker Q&A Day 2
Day 2 Speaker Q&A with Amanda Gadrow and Jennifer Heider at the 2019 Women in Analytics Conference.
Work with compute in Azure Machine Learning
Learn how to work with compute targets and environments in the Azure Machine Learning workspace.
Work with compute targets in Azure Machine Learning
Learn how to work with compute targets in Azure Machine Learning. Compute targets allow you to run your machine learning workloads. Explore how and when you can use a compute instance or compute cluster.
Work with data in Azure Machine Learning
Learn how to work with data in Azure Machine Learning. Whether you want to access data in notebooks or scripts, you can read data directly, through datastores, or data assets.
Work with Delta Lake tables in Microsoft Fabric
Tables in a Microsoft Fabric lakehouse are based on the Delta Lake storage format commonly used in Apache Spark. By using the enhanced capabilities of delta tables, you can create advanced analytics solutions.