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Machine Learning with Python: Logistic Regression

Analytics Vidhya

What Is Logistic Regression? The post Machine Learning with Python: Logistic Regression appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon. This article assumes that you possess.

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Implementing Logistic Regression from Scratch using Python

Analytics Vidhya

Introduction on Logistic Regression If you are here, you are already introduced to the concept of logistic regression and probably have had your hands dirty working on different datasets. The scikitlearn’s LogisticRegression is by far the best tool to use for any logistic regression […].

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Campus Recruitment: A Classification Problem with Logistic Regression

Analytics Vidhya

And our goal is to create a predictive model, such as Logistic Regression, etc. Campus recruitment is a strategy for sourcing, engaging, and hiring […] The post Campus Recruitment: A Classification Problem with Logistic Regression appeared first on Analytics Vidhya.

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An Introduction to Logistic Regression

Analytics Vidhya

The post An Introduction to Logistic Regression appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview: In this article, we will learn the in-depth working and.

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The 2023 Supply Chain Crystal Ball: Challenges and Solutions

Speaker: Olivia Montgomery, Associate Principal Supply Chain Analyst

The supply chain management techniques that dominated the last 30 years are no longer supporting consumer behavior or logistics and manufacturing capabilities. Curious to know how your peers are navigating ongoing disruption? So what’s working now? What should your plans for 2023 include?

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Geometrical Approach To Understand Logistic Regression

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Logistic Regression is another statistical model which is used for. The post Geometrical Approach To Understand Logistic Regression appeared first on Analytics Vidhya.

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Predict Client Subscription Using Logistic Regression

Analytics Vidhya

Introduction on Logistic Regression This article aims to take you through the process of performing a Logistic Regression algorithm in python to classify whether clients will subscribe to term deposit or not. Logistic Regression is used for classification problems. It is used to […].

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Problem Solved: Boost Resilience with Supplier Diversity

Speaker: Rod Robinson - SVP of the Supplier Diversity Practice, Insight Sourcing Group

With an unsteady economy, inflation, and unpredictable attrition, businesses can and should turn to supplier diversity programs to overcome some of today’s most difficult supply chain and logistics challenges. Ready to get started?

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The Supply Chain & Logistics Journey: Humble Beginnings, Troubled Present, Amazing Future

Speaker: James A. Tompkins, Ph.D.

For the last 3 years, we have seen supply chain and logistic chaos. The first 20 years of work on supply chains beget efficiency, the next 10 - efficiency and effectiveness. Going forward, supply chains will be at the core of organizational success.

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Digitizing Logistics: Harness the Power of Data in 4 Steps

Entering a new demand gen position in a volatile market is nerve-wracking. All eyes are on you to make an impact — fast. That’s where your data comes in. In demand generation, data is essential for knowing who you should target and how.

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All Method, No Madness: Guiding Agile Teams Through Research

Speaker: Amanda Stockwell, President of Stockwell Strategy

Setup and logistics. Join Amanda Stockwell, President of Stockwell Strategy, as she presents common issues agile teams have with incorporating research, and how to solve them. In this webinar, she'll make specific suggestions around: Team makeup. Research Planning. Data analysis and integration.

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Guide to Mathematical Optimization & Modeling

For decades, operations research professionals have been applying mathematical optimization to address challenges in the field of supply chain planning, manufacturing, energy modeling, and logistics. Learn all about this AI technique and how it can help your organization.