ML-Notebook

my machine learning notebook for practice machine learning, titles wrote in file's name

Supervised Learning Algorithm

Regression: - Linear Regression; -
Classification: - KNearestNeighbors
Linear Regression: - Ridge (for Regression and classification); - Lasso (for Regression); - Elastic Net (for Regression)

Name		Name	Last commit message	Last commit date
Latest commit History 40 Commits
dataset		dataset
scientific tool		scientific tool
.gitignore		.gitignore
01-iris-classification-with-knn.ipynb		01-iris-classification-with-knn.ipynb
03-persian-digit-dataset.ipynb		03-persian-digit-dataset.ipynb
04-perian-digit-classification-with-knn.ipynb		04-perian-digit-classification-with-knn.ipynb
05-regression-with-knn.ipynb		05-regression-with-knn.ipynb
06-Generalizing-Overfiting-Underfitting.ipynb		06-Generalizing-Overfiting-Underfitting.ipynb
07-Excersice.ipynb		07-Excersice.ipynb
07-Linear-Reggression.ipynb		07-Linear-Reggression.ipynb
08-Linear-Models-for-Classification.ipynb		08-Linear-Models-for-Classification.ipynb
08-Linear-Models-for-Regression.ipynb		08-Linear-Models-for-Regression.ipynb
08-Linear-Models.ipynb		08-Linear-Models.ipynb
09-Unsupervised-Transformation.ipynb		09-Unsupervised-Transformation.ipynb
10-unsupervised-pca.ipynb		10-unsupervised-pca.ipynb
11-unsupervised-clustering.ipynb		11-unsupervised-clustering.ipynb
12-Exercise.ipynb		12-Exercise.ipynb
12-cross-validation.ipynb		12-cross-validation.ipynb
13-Model-Complexity-and-GridSearch.ipynb		13-Model-Complexity-and-GridSearch.ipynb
14-Model-Evaluation-Confusion-matrix.ipynb		14-Model-Evaluation-Confusion-matrix.ipynb
README.md		README.md
mydataset.py		mydataset.py