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## 💥 Proposal
I propose implementing multiple machine learning algorithms, including Support Vector Machines (SVM), k-Nearest Neighbors (KNN), and Random Forest, for heart disease classification. T…
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* add the list of algorithms suited
* add binary classification description
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The current way of registering vital algorithms is a bit unwieldy and verbose. It seems like a perfect job for a decorator. I made a small proof-of-concept that demos a possible implementation for sai…
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Time Series Classification is a very popular machine learning problem.
You can find a full survey and empirical study ([link to paper](https://link.springer.com/article/10.1007/s10618-016-0483-9)) o…
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Hi
Can this library and its methods work with multi-label classification algorithms?
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
I want to update Disease_Prediction . I want to add a prediction model to this folder.Pred…
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### Comment moved from Project Lifecycle Document Section 4. Annual Review Process
The TAC shall develop an annual review process to determine whether projects are in the stage that accurately reflec…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Plant disease prediction
:red_circle: **Aim** :Plant Disease Prediction with Image Classification
:…
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Usually, classification algorithms return 0 or 1 value, thus mapping a specimen to either class.
In our case, however, we want to get probability that a sensor is good / bad.
The challenge is to custo…
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Hi, great library!
Is it possible (and how) to addthe above-mentioned commandline parameters on your SentiStrength_for_python?
The author of the Java library suggested that in order to implement S…
vicru updated
2 years ago