Linear regression, Prediction, Logistic function, Logistic regression, Regression analysis, Generalized linear model

omop-learn

On Feb 10, 2021
@weballergy shared
RT @david_sontag: How to beat linear models for ML on health data? Pre-train using them! See our #AAAI2021 paper on Reverse Distillation & a new transformer-based model (https://t.co/a9IASGM1bY). And... (drum roll) our new open-source code for ML on OMOP: https://t.co/gDg5z6JvXR @RBoiarsky @OHDSI https://t.co/3chMJrFs03
Open

Contribute to clinicalml/omop-learn development by creating an account on GitHub.

github.com
On Feb 10, 2021
@weballergy shared
RT @david_sontag: How to beat linear models for ML on health data? Pre-train using them! See our #AAAI2021 paper on Reverse Distillation & a new transformer-based model (https://t.co/a9IASGM1bY). And... (drum roll) our new open-source code for ML on OMOP: https://t.co/gDg5z6JvXR @RBoiarsky @OHDSI https://t.co/3chMJrFs03
Open

omop-learn

omop-learn

Contribute to clinicalml/omop-learn development by creating an account on GitHub.

Convoys

Convoys

Convoys is a simple library that fits a few statistical model useful for modeling time-lagged conversion rates. Installation The easiest way right now is to install it straight from Github ...

Click here to read the article

Click here to read the article

Predicting News Headline Popularity with Syntactic and Semantic Knowledge Using Multi-Task Learning Daniel Hardt Copenhagen Business School [email protected] Dirk Hovy Bocconi University ...

spacecutter: Ordinal Regression Models in PyTorch

spacecutter: Ordinal Regression Models in PyTorch

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Marginal Effects—Quantifying the Effect of Changes in Risk Factors in Logistic Regression Models

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This JAMA Guide to Statistics and Methods discusses the marginal effects approach to express the strength of the association between a risk factor and a binary outcome from a logistic ...

Understanding Logistic Regression in Python

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Learn about Logistic Regression, its basic properties, and build a machine learning model on a real-world application in Python.

Data Science for Startups: Model Production

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Part seven of my ongoing series about building a data science discipline at a startup. You can find links to all of the posts in the…

How to Share your Machine Learning Models with Shiny

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We have provided an example of how to Build and Deploy a Machine Learning Web App using Python and Flask. ... Read moreHow to Share your Machine Learning Models with Shiny

Introducing BigQuery ML for building predictive models with SQL

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Google’s beta extension performs linear regression forecasting and binary logistic classification in the BigQuery data warehouse

Customer Churn Analysis: Using Logistic Regression to predict at Risk Customers

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While we all know that the Linear Regression routines are pretty straightforward and easy to understand, where it clearly states that the value of an independent variable increases by 1 ...