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https://github.com/aminrahimian/data-for-good/blob/main/tutorials/Algorithms/LinearRegression/class_1_linear_regression_mortgage.ipynb?short_path=ad7327c#L40
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Need various numeric (i.e. non-categorical) algorithms added to RelPredict.
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Here's a minimal example based on Shafi's code. We can convert this into `tidymodels` format once we agree on the process being shown.
``` r
# MVP EXAMPLE ----
# automl_reg() function
# Libra…
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- Flood Susceptibility Mapping (FSM) involves identifying areas prone to flooding to mitigate future floods and assess susceptibility.
- Floods are among the most destructive natural disasters, causi…
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insert code in the plot_data_points function in pykitzoid/algorithms/linear_regression.go. bear in mind the format in which the dataset will be received (csv) and change the parameters and return type…
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### Feature description
[machine_learning/xgboost_classifier.py](https://github.com/TheAlgorithms/Python/blob/master/machine_learning/xgboost_classifier.py) and [machine_learning/xgboost_regressor.…
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Add
- [x] SimpleLinearRegression
> In linear regression, the model specification is that the dependent variable, y is a linear combination of the parameters (but need not be linear in the independ…
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Use and Auto ML library like pycaret and all you know To demonstrate The some famous Regression and Classification algorithms.
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From our earlier discussion, I will try to summarize the "is it a reduction" question.
As you are familiar with math formalism, I will try to formulate this question using mathematical language.
…