Analytics Vidhya

JUNE 8, 2024

Introduction Many database technologies in contemporary data management meet developers’ and enterprises’ complex and ever-expanding demands. From scalable, high-performance solutions for distributed systems to reliable transaction handling in business contexts, each system offers distinct benefits catered to different data processing requirements.

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Data Processing Enterprise Management Technology 300

Analytics Vidhya

JUNE 8, 2024

Introduction Logistic regression is a statistical technique used to model the probability of a binary (categorical variable that can take on two distinct values) outcome based on one or more predictor variables. Unlike linear regression, which predicts continuous variables (assumes any infinite number in a given interval), logistic regression is used for categorical outcomes with […] The post How to Run Binary Logistic Regression Model with Julius?

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Modeling Statistics Analytics Data Science 283

Analytics Vidhya

JUNE 8, 2024

Introduction Developing Excel skills is critical in the working profession, regardless of the industry. An understanding of Excel formulas is vital if you are to improve on ways, compile information, and make sound recommendations. Now, consider the list of 30 basic Excel formulas everyone should know. Overview: What is an Excel Formula? An Excel formula is […] The post 30 Basic Excel Formulas for Everyone appeared first on Analytics Vidhya.

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Analytics 276

Analytics Vidhya

JUNE 8, 2024

Introduction How to get the shortest path? A clever problem-solver, however, if you use the Greedy Best-First Search (GBFS) algorithm, you are willing to help. Think of it as that one friend who always puts the best foot forward. In this series of articles, I will explain Greedy Best-First Search and show examples using Python […] The post Understanding the Greedy Best-First Search (GBFS) Algorithm in Python appeared first on Analytics Vidhya.

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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