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Checking model assumptions is like commenting code. Everybody should be doing it often, but it sometimes ends up being overlooked in reality. A failure to do either can result in a lot of time being c…
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There are a number of assumptions of simple linear regression, which are important to check if you are fitting a linear model. The first assumption is that the relationship between the outcome variabl…
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Linear regression is a powerful modeling technique that can be used to understand the relationship between a *quantitative* variable and one or more other variables, sometimes with the goal of making …
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Linear regression is among the first algorithms for an ML newbie. Write an `IRuby notebook` for it with detailed explanation. DO NOT COPY the algorithm from any other GitHub repository.
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### Issue Description
The linear regression tutorial has been updated in branch ot-linear-reg-tutorial to have interactive
plotting. The notebook shows poor mixing of model chains except when using …
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Our Mean square value is 0.004099985307764925
The visualization graph is the backend channel (First model jupyter notebook)
@1978abhay
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This Linear Regression model resulting a gap prediction for the BMI index concerning to s5 feature (TG - Triglycerides).
### Linear Regression Model
![image](https://github.com/iannn07/DS-Basic-…
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There are two performance issues when using state-independent solvers for non-autonomous linear ODEs:
1. A ~2x performance regression going from OrdinaryDiffEq v6.54.0 to v6.55.0 when the linear op…
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