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Building A RAG Pipeline for Semi-structured Data with Langchain

Analytics Vidhya

Many tools and applications are being built around this concept, like vector stores, retrieval frameworks, and LLMs, making it convenient to work with custom documents, especially Semi-structured Data with Langchain. Working with long, dense texts has never been so easy and fun.

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A Beginner’s Guide to Structuring Data Science Project’s Workflow

Analytics Vidhya

Introduction Asides from dedication to discovery and exploration, to succeed in a Data Science project, you must understand the process and optimize it to ensure that the results are reliable and the project is easy to follow, maintain and modify where necessary. And […].

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From Unstructured to Structured Data with LLMs

KDnuggets

Learn how to use large language models to extract insights from documents for analytics and ML at scale. Join this webinar and live tutorial to learn how to get started.

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How To Concatenate Two or More Pandas DataFrames?

Analytics Vidhya

Introduction Pandas is a powerful data manipulation library in Python that provides various functionalities for working with structured data. One of its critical features is its ability to handle and manipulate DataFrames, which are two-dimensional labelled data structures.

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Synthetic Data Platforms: Unlocking the Power of Generative AI for Structured Data

KDnuggets

The article highlights various use cases of synthetic data, including generating confidential data, rebalancing imbalanced data, and imputing missing data points. It also provides information on popular synthetic data generation tools such as MOSTLY AI, SDV, and YData.

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How to Add a New Column to an Existing DataFrame in Pandas?

Analytics Vidhya

Introduction Pandas is a powerful data manipulation library in Python that provides various functionalities to work with structured data. One common task in data analysis is to add a new column to an existing DataFrame in Pandas. Why […] The post How to Add a New Column to an Existing DataFrame in Pandas?

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How to Create a Pandas DataFrame from Lists ?

Analytics Vidhya

Introduction Creating a Pandas DataFrame is a fundamental task in data analysis and manipulation. It allows us to organize and work with structured data efficiently. In this article, we will explore how to create a Pandas DataFrame from lists, discussing the reasons behind it and providing a step-by-step guide.