Comments (7)
Hinal-Srivastava
commented on June 28, 2024
Hi!
I would like to contribute to this. Just went through the documentation you've provided👍
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TarunTomar122
commented on June 28, 2024
hey @Hinal-Srivastava. You can start working on this issue right away. keep us updated with your work. Assigned to you now!
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Hinal-Srivastava
commented on June 28, 2024
Yea sure. On it
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kwanit1142
commented on June 28, 2024
Hi, can multiple people work on single issue or single person only?
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TarunTomar122
commented on June 28, 2024
hi @kwanit1142 . although multiple people can work on same issue but i think this is a small issue and one person is enough. You can have a look at other issues for yourself. Thanks for understanding.
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Hinal-Srivastava
commented on June 28, 2024
@TarunTomar122 PR submitted. Kindly review it :)
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TarunTomar122
commented on June 28, 2024
Thanks for ur contribution! Closing this issue due to inactivity
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Related Issues (20)
- Incorporate "Pandas Library Support" ,for inputting the data HOT 1
- Implement Lasso regression a.k.a L1 Regularization HOT 2
- Implementing other "Anomaly Detection" Methods HOT 1
- Implementing other "Advanced Clustering / Unsupervised Learning" Models HOT 1
- Creative and Newer Format for "Algorithms / Domain" Detail Tables, in ReadMe HOT 1
- Implementing "Feature Scaling and Normalization Techniques" for Utility to Input Dataset HOT 1
- Implementing other "Optimized Gradient Descent Variants"
- Splitting Models.py into Multiple py Files, according to Domain of Learning
- Implement Complement Naive Bayes and Categorical Naive Bayes Models
- Implementing Optimizers
- Implement Linear Discriminant Analysis HOT 13
- Implement KNN Classifier HOT 2
- Add other Distance-based Cost Metrics into a Single Python Class File HOT 3
- Implement Bagging Classifier and Regressor
- Implement Decision Tree Regressor and Random Forest Regressor HOT 2
- Implement Hidden Markov Model
- Implement various Hypothesis Tests as Statistically Significant Metrics HOT 2
- Implement other types of Boosting Techniques
- Correction in Docstrings of Loss Functions
- Bug detected in Mean Squared Logarithmic Loss Function
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