https://github.com/haseeeb21/machine-learning-models

Machine Learning Models trained on Scikit-learn datasets. This repository contains the code files and saved models trained on Toy datasets (Classification & Regression), and Real World dataset.
https://github.com/haseeeb21/machine-learning-models

anaconda classification classification-models jupyter-notebook knn knn-classification machine-learning machine-learning-algorithms python3 regression regression-models scikit-learn scikit-learn-python scikitlearn-machine-learning svm svm-classifier vscode

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Machine Learning Models trained on Scikit-learn datasets. This repository contains the code files and saved models trained on Toy datasets (Classification & Regression), and Real World dataset.

• Host: GitHub
• URL: https://github.com/haseeeb21/machine-learning-models
• Owner: Haseeeb21
• Created: 2024-07-25T17:30:37.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-10-23T04:06:53.000Z (28 days ago)
• Last Synced: 2024-10-24T20:51:23.496Z (26 days ago)
• Topics: anaconda, classification, classification-models, jupyter-notebook, knn, knn-classification, machine-learning, machine-learning-algorithms, python3, regression, regression-models, scikit-learn, scikit-learn-python, scikitlearn-machine-learning, svm, svm-classifier, vscode
• Language: Jupyter Notebook
• Homepage:
• Size: 10.8 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Machine-Learning-Models

Machine Learning Models trained on `Toy Datasets` and `Real World Datasets` from **Scikit-learn**. 

## About the folders

Each of these folders contains the code notebook and saved models.

* **TD_classification** - Contains the *Classification* models trained on `Toy Datasets`.

* **RWD_classification** - Contains the *Classification* models trained on `Real World Datasets`.

* **TD_regression** - Contains the *Regression* models trained on `Toy Datasets`.

## Classification and Regression Models

* Classification

  - K Nearest Neighbor (KNN) - K Neighbor Classifier

  - Support Vector Machine (SVM) - Support Vector Classification (SVC)

  - Logistic Regression (LR)

  - Random Forest (RF) - Random Forest Classifier

  - Multi-layer Perceptron (MLP) - Multi-layer Perceptron Classifier

  - Stochastic Gradient Descent (SGD) - Stochastic Gradient Descent Classifier

* Regression

  - Linear Regression

  - Ridge Regression

  - Lasso Regression

  - Elastic Net

  - Decision Tree -  Decision Tree Regressor

  - Random Forest - Random Forest Regressor

  - Gradient Boosting - Gradient Boosting Regressor

  - Support Vector Machine (SVM) - Support Vector Regression (SVR)

  - K Nearest Neighbor (KNN) - K Neighbors Regressor

  - Multi-layer Perceptron (MLP) - MLP Regressor

## Sci-kit Library Datasets

Scikit-learn comes with a few small standard datasets, both for Classification and Regression.

#### Toy Dataset

* Classification

  - load_iris

  - load_digits

  - load_wine

  - load_breast_cancer

* Regression

  - load_diabetes

Link: https://scikit-learn.org/stable/datasets/toy_dataset.html

#### Real World Dataset

fetch_olivetti_faces - Classification

Link: https://scikit-learn.org/stable/datasets/real_world.html