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**Learning Goals:**
- Understand the concept and use of the Random Forest Classifier and K-Nearest Neighbors (KNN) algorithm.
- Learn how to preprocess medical data for machine learning, particula…
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### What is happening?
Since the release of the version Qiskit 1.2 the class `Sampler` is deprecated. With this choice we require that all implementations of the `BaseSamplerV1` interface have been d…
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Through Python 3.6 and scikit-learn, the model will predict the language of new data. Steps include data preprocessing, feature extraction, model training, and evaluation. Techniques like tokenization…
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I've seen the project, and it would be better if more evaluation metrics are added such as R-squared, Mean squared logarithmic error (MLSE) and coefficient of variation to evaluate the performance of …
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Some pages have correct titles:
- https://grand-challenge.org/challenges/ "Challenges - Grand Challenge".
- https://grand-challenge.org/reader-studies/ "Reader Studies - Grand Challenge"
But s…
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### Environment
- **Qiskit version**: 1.2.1
- **Python version**: 3.12.0
- **Operating system**: Ubuntu 22.04.4
### What is happening?
Since the release of the version Qiskit 1.2 the class `Sam…
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I've been having trouble distinguishing between the different evaluation methods used in the paper from last lecture: ICC, ARI, and AIC. Does anyone know of any resources that compare these methods (a…
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I propose adding an e-commerce sales prediction model to ML Nexus. This model will utilize historical sales data, marketing spend, customer behavior, and seasonal trends to forecast future sales. It w…
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Rules Engine uses CoR for sequential rules evaluation. It works! And for many situations, it's serves the need. However, for more ambitious applications, it would be nice to have other algorithms for …
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```
config = OptimizationConfig(
data=Dataset(
input_column=input_col, # Typical names are "SMILES" and "smiles".
response_column=value_col, # Often a specific name (like her…