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not sure about this, needs more thinking! This is about predicting per-instance ordinal values where we only know the partial ordering of targets but where the target value is otherwise not on an inte…
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`Scikitlearn` is the de facto home for all kinds of modeling algorithms. It has a plethora of
algorithms but still one thing that seems to be missing is the implementation of `LogisticRegression` whe…
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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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Problem Description:
The aim is to build a model that predicts the selling price of a car based on features such as age, fuel type, seller type, transmission, etc. This problem is critical for car de…
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**Is your feature request related to a problem? Please describe.**
Opportunity to improve model accuracy with ability to ensemble TabNet model (deep learning) with existing set of models.
**Descr…
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### Feature Summary
Predictive Analytics for Investment Strategies: Create a predictive analytics tool that helps users make better investment decisions based on historical data and trends.
### Desc…
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Can I add few more algorithms?like lightgbm,catboost,arima etc
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Do you know if there’s a Python library that implements the NSI matching logic? Given a GeoJSON object with OSM tags in `properties`, that library would return the NSI-suggested changes. Does this alr…
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### Benchmarking Coin Selection Algorithms
This pull request introduces benchmarks for six coin selection algorithms in the `rust-coinselect` library using the `criterion` crate. These benchmarks w…