Data Science
Showing 613–624 of 1577 results
Exploring the Hugging Face Inference API in JavaScript
Learn how to use the Hugging Face Inference API in JavaScript for implementing natural language processing and machine learning features.
Exploring Web Scraping with Python
The course introduces data professionals and Python developers to Web Scraping with Python. Much data is “trapped” in web pages and this course starts you down the path on how to liberate the data for your data science projects.
Exploring Your First Data Set with R
Learn how to explore new data sets in R by applying a structured and established data exploration blueprint.
Extend data insights with Copilot in Power BI
Copilot in Power BI uses Generative AI to simplify data visualization and create reports, making Power BI more insightful and accessible.
Extracting Data from HTML with BeautifulSoup
This course covers the important aspects of scraping websites using Beautiful Soup. You will learn to build, manipulate and traverse the parse tree, as well as to leverage advanced features such as working with filters, CSS and XPath.
Extracting Data from HTML with R 3
Learn how to use rvest and other R tools to create your own original datasets from publicly available web content.
Extracting Insights from Data with Databricks SQL
Databricks SQL provides a unified interface to create and run SQL queries, and then visualize the results using a variety of built-in charts. This course explores how these can be combined with dashboards to extract useful insights from data.
Extracting Text and Data with Amazon Textract
This course will teach you how to use and work with Amazon Textract, which extracts text and data from scanned documents, going beyond traditional OCR.
Facilitating Collaboration and Sharing as a Power BI Admin
Once you have Power BI reports, you need to provide access. This course will teach you how to secure and manage your reports.
Factor Analysis in R
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.
Fast Data for Faster Business
Big Data LDN 2019 | Fast Data for Faster Business | Mark Van de Wiel and Neal Higham
Feature Engineering
Machine learning is only as good as its training data. Learn how to process data properly before training your models.