Scikit-Learn-Tutorial

Scikit Learn Tutorial

This repository contains the notebook for my Scikit Learn Tutorial Series

Clone the repository run jupyter notebook

Open 2. Setup and Benefits of Scikit Learn to see how to install all you need.

Gilbert Tanner

This project is licensed under the MIT License - see the LICENSE.md file for details

Name		Name	Last commit message	Last commit date
parent directory ..
1. Introduction.ipynb		1. Introduction.ipynb
10. Cross Validation and Model Selection.ipynb		10. Cross Validation and Model Selection.ipynb
11. Hyperparameter Tuning.ipynb		11. Hyperparameter Tuning.ipynb
12. Preprocessing.ipynb		12. Preprocessing.ipynb
13. Feature extraction.ipynb		13. Feature extraction.ipynb
14. Machine Learning Process.ipynb		14. Machine Learning Process.ipynb
2. Setup and Benefits of Scikit Learn.ipynb		2. Setup and Benefits of Scikit Learn.ipynb
3. Training a model on the Iris Dataset.ipynb		3. Training a model on the Iris Dataset.ipynb
4. Training, Testing Datasets.ipynb		4. Training, Testing Datasets.ipynb
5. Classification Algorithms.ipynb		5. Classification Algorithms.ipynb
6. Regression Algorithms.ipynb		6. Regression Algorithms.ipynb
7. Clustering Algorithms.ipynb		7. Clustering Algorithms.ipynb
8. Dimensionality Reduction.ipynb		8. Dimensionality Reduction.ipynb
9. Dimensionality Reduction 2.ipynb		9. Dimensionality Reduction 2.ipynb
README.md		README.md