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https://chatgpt.com/share/6722826e-2730-800e-9be1-5c6b505e6fa3
Las tecnologias se agregan en el learn.json de cada proyecto
Revisa todo el syllabus y ve editando en github cada project y color lso…
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Baseline: Linear Regression
### Other Regressions (Matt)
Improve out of sample prediction accuracy by using regularization to avoid overfitting on the training set.
* Lasso regression
* Ridge r…
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## Team name:
KCL Quantum
## Team members:
Avner Bensoussan
Elena Chachkarova
Karine Even-Mendoza
Sophie Fortz
Connor Lenihan
## Project Description:
The provided algorithm optimise…
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LightGBM is also popular for the boosting tree model, thus, it is natural to demo or test how LGBM to run over XGboost Operator.
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Hi,
I am trying to solve a binary classification problem with the dataset that contains 100 data rows with 40 feature columns. I applied Random forest on the given dataset. After applying the RF, I…
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** types. of algorithms.
1. Linear discriminant analysis
2. Regression
3. Naive Bayes
4. Support vector machines
5. Classification and regression trees
6. Random forests
7. Boosting
etc.
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**Describe the bug**
BrainVISA segfaults at start.
The bug seems to be related to new offline rendering feature on master branch.
The bug does not exists on 5.1 branch which works correctly on the…
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When executing the following code to find the features importance of a LGBMRegressor model I get a KeyError: 'objective' error. The model's objective was specified as 'mean_squared_error'.
**Code:…
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Hi, I am recently conducting some numerical experiments for a new tree boosting trick. I designed a simple example for robust regression, in which there are three data points involved: (1.2, 1.5, 2.…
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Hello everyone,
I learned 10 regression trees from the same IMDB dataset provided in the Wiki. I set the target predicate as workedunder and allowed recursion.
The algorithm was able to learn, h…