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Automate Data Quality Reports with n8n: From CSV to Professional Analysis

KDnuggets

What if you could paste any CSV URL and get a professional data quality report in under 30 seconds? No Python environment setup, no manual coding, no switching between tools. Unlike writing standalone Python scripts, n8n workflows are visual, reusable, and easy to modify. Next Steps 1.

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The Lifecycle of Feature Engineering: From Raw Data to Model-Ready Inputs

Flipboard

Data preparation tools : Libraries such as Pandas, Scikit-learn pipelines, and Spark MLlib simplify data cleaning and transformation tasks. AutoML frameworks : Tools like Google AutoML and H2O.ai include automated feature engineering as part of their machine learning pipelines.

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Introducing SageMaker Core: A new object-oriented Python SDK for Amazon SageMaker

AWS Machine Learning Blog

We’re excited to announce the release of SageMaker Core , a new Python SDK from Amazon SageMaker designed to offer an object-oriented approach for managing the machine learning (ML) lifecycle. The SageMaker Core SDK comes bundled as part of the SageMaker Python SDK version 2.231.0 We use the SageMaker Core SDK to execute all the steps.

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Your guide to generative AI and ML at AWS re:Invent 2024

AWS Machine Learning Blog

This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services. We’ll cover Amazon Bedrock Agents , capable of running complex tasks using your company’s systems and data.

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Fine-tuning large language models (LLMs) for 2025

Dataconomy

Granite 3.0 : IBM launched open-source LLMs for enterprise AI 1. Fine-tuning large language models allows businesses to adapt AI to industry-specific needs 2. Data preparation for LLM fine-tuning Proper data preparation is key to achieving high-quality results when fine-tuning LLMs for specific purposes.

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Large Language Models: A Self-Study Roadmap

Flipboard

However, if you are new to these concepts consider learning them from the following resources: Programming: You need to learn the basics of programming in Python, the most popular programming language for machine learning.

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Introducing Recursive Common Table Expressions to Databricks

databricks

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!

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