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

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. 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.

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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.

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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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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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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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A Brief Introduction to Apache HBase and it’s Architecture

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Since the 1970s, relational database management systems have solved the problems of storing and maintaining large volumes of structured data.

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A brief introduction to SQL Alchemy

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The structured data we generally deal with gets stored in a tabular format in relational databases. And stored data in these databases can be accessed by a query language called “sequel” or SQL. But, it is […].