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Both of the current R regression workshops have too much content for the time slot so I propose we split into three courses. Furthermore we can give these courses more specific titles rather than begi…
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# Requirements for Linear regresion model
- [ ] Normal equation implementation.
- [ ] Gradient based learning.
- [ ] At least two module implementation.
- [ ] Math documentation.
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It would be nice to support the [Benchopt](https://github.com/benchopt/benchopt) problem suite, which is also available in Python:
- [ ] Ordinary Least Squares
- [ ] Non-Negative Least Squares
- …
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Wondering if it would be possible to add an equation output (i.e. a toggle and/or like in the output with Dependent=Int+B covariate...) with the Linear Regression analysis. For simple linear regressio…
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### Parent Issue
#10182
### Detail of Subtask
e.g. https://docs.snowflake.com/en/sql-reference/functions/regr_intercept
### Describe implementation you've considered
_No response_
#…
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Hi, are there any recommendations on how to use the [`linearRegression`](http://simple-statistics.github.io/docs/#linearregression) method for finding the slope of a regression line for time series da…
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This project involves predicting the duration of NYC taxi trips using various regression models. The notebook includes steps for data exploration, preprocessing, model training, and evaluation.
## …
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Test if it works with linear regression
Ahmed tried to do a linear regression with meager results.
TODO:
- [x] check with @Thity if this is the correct implementation
- [x] make sure there are…
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Thank you for creating the package, it's easy to use and the examples are very useful. I want to perform stepwise linear regression using backward elimination to find the optimal model based on the r-…
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# ML 2: Linear Regression và giới thiệu về Gradient Descent. | AI WIKI
Từ Linear (tuyến tính) xuất phát từ linearis trong tiếng Latinh, có nghĩa là thứ gì đó liên quan hoặc tương tự đường thẳng. - ăn…