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Compare:
- current approach: pattern-defeating quicksort on BM-25 followed by timsort on logistic regression
- quicksort for bm-25 and insertion sort for logistic regression
- every combination o…
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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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## Description
This was reported in Jupyter Notebook - https://github.com/jupyter/notebook/issues/7523. I narrowed it down based on logs to two issues:
- notebook rendering crashes due to unca…
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OpenSearch supports a couple of models directly (e.g. linear regression models, see https://opensearch.org/docs/latest/ml-commons-plugin/algorithms/#linear-regression).
Together with the [ML inferenc…
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- Implement robust benchmarks for model testing
- Try different subword lengths
- Try different regression algorithms
- Try various regularization strategies
- Data cleaning: Check whether whitespace …
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Developed a machine learning model to detect fraudulent credit card transactions with 93% accuracy on a dataset of 284,807 transactions. Preprocessed and normalized the data while handling class imbal…
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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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Requirements are -
1. Create an ML Algorithm using `Scikit-learn` , `Tensorflow` or `PyTorch` for the classification of the scrapped admission data.
2. Provide users with predictive analysis of ad…
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Need various numeric (i.e. non-categorical) algorithms added to RelPredict.
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```
docs/
├── README.md # Overview of the documentation structure
├── getting-started/
│ ├── introduction.md # Introduction to AIBuddies and AI
│ …