https://github.com/devanshu-17/huggingface-sklearn-sprint

This repository contains my submission to the sklearn-sprint on HuggingFace
https://github.com/devanshu-17/huggingface-sklearn-sprint

huggingface sklearn

Last synced: 7 days ago
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This repository contains my submission to the sklearn-sprint on HuggingFace

• Host: GitHub
• URL: https://github.com/devanshu-17/huggingface-sklearn-sprint
• Owner: Devanshu-17
• License: mit
• Created: 2023-05-22T21:11:16.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-05-26T11:44:12.000Z (over 1 year ago)
• Last Synced: 2024-11-07T02:12:18.518Z (about 2 months ago)
• Topics: huggingface, sklearn
• Language: Python
• Homepage: https://huggingface.co/spaces/sklearn-docs
• Size: 31.3 KB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# HuggingFace-Sklearn-Sprint

This repository contains my submission to the sklearn-sprint on HuggingFace 🤗

## Here are the Categories and links - 

### 1. Classification

- Normal Ledoit Wolf and OAS Linear Discriminant Analysis for classification 

https://huggingface.co/spaces/sklearn-docs/Normal-Ledoit-Wolf-and-OAS-Linear-Discriminant-Analysis-for-classification

### 2. Gaussian Mixture Models

- Density Estimation for a Gaussian mixture 

https://huggingface.co/spaces/sklearn-docs/Density-Estimation-for-a-Gaussian-mixture

- Gaussian Mixture Model Ellipsoids

https://huggingface.co/spaces/sklearn-docs/Gaussian-Mixture-Model-Ellipsoids

- GMM Initialization Methods

https://huggingface.co/spaces/sklearn-docs/Gaussian-Mixture-Model-Initialization-Methods

- GMM covariances

https://huggingface.co/spaces/sklearn-docs/Gaussian-Mixture-Model-Covariance

### 3. Gaussian Processes

- Gaussian Process Classification on Iris Dataset

https://huggingface.co/spaces/sklearn-docs/Gaussian-Process-Classification-on-Iris-Dataset

- Illustration of Gaussian process classification on the XOR dataset

https://huggingface.co/spaces/sklearn-docs/Gaussian-Process-Classification-on-the-XOR-Dataset

### 4. Manifold Learning

- Manifold Learning Comparison

https://huggingface.co/spaces/sklearn-docs/Comparison-of-Manifold-Learning-methods

- Multi Dimensional Scaling

https://huggingface.co/spaces/sklearn-docs/Multi-Dimensional-Scaling

### 5. Miscellaneous 

- Isotonic Regression

https://huggingface.co/spaces/sklearn-docs/Isotonic-Regression

### 6. Model Selection

- Detection error tradeoff (DET) curve

https://huggingface.co/spaces/sklearn-docs/Detection-Error-Tradeoff-Curve

- Demonstration of multi metric evaluation on cross_val_score and GridSearchCV

https://huggingface.co/spaces/sklearn-docs/Demonstration-of-multi-metric-evaluation-on-cross_val_score-and-GridSearchCV

- Plotting Cross Validated Predictions

https://huggingface.co/spaces/sklearn-docs/Plotting-Cross-Validated-Predictions

- Test with permutations the significance of a classification score

https://huggingface.co/spaces/sklearn-docs/Test-with-permutations-the-significance-of-a-classification-score

### 7. Nearest Neighbors

- Caching Nearest Neighbors

https://huggingface.co/spaces/sklearn-docs/Caching-Nearest-Neighbors

- Kernel Density Estimation

https://huggingface.co/spaces/sklearn-docs/Kernel-Density-Estimation

- Kernel Density Estimate of Species Distributions

https://huggingface.co/spaces/sklearn-docs/Kernel-Density-Estimate-of-Species-Distributions

### 8. Support Vector Machines

- SVM ANOVA - https://huggingface.co/spaces/sklearn-docs/SVM-Anova-SVM-with-univariate-feature-selection