Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
.ipynb_checkpoints		.ipynb_checkpoints
README.md		README.md
[001] Linear regression gradient descent using MSE.ipynb		[001] Linear regression gradient descent using MSE.ipynb
[002] Linear regression gradient descent using MSE constructed with SkiKit-Learn.ipynb		[002] Linear regression gradient descent using MSE constructed with SkiKit-Learn.ipynb
[003] Basic linear regression of polynomial implemented using SciKit-Learn high level API.ipynb		[003] Basic linear regression of polynomial implemented using SciKit-Learn high level API.ipynb
[004] Linear regression of polynomial with analysis of model performance (Learning Curves for underfitting and overfitting models).ipynb		[004] Linear regression of polynomial with analysis of model performance (Learning Curves for underfitting and overfitting models).ipynb
[005] Ridge regression (polynomial).ipynb		[005] Ridge regression (polynomial).ipynb
[006] Lasso regression (polynomial).ipynb		[006] Lasso regression (polynomial).ipynb
[007] ElasticNet regression (polynomial).ipynb		[007] ElasticNet regression (polynomial).ipynb

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regression_models

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A series of documented Jupyter notebooks implementing polynomial regression models and model performance analysis

linear-regression models performance-metrics learning-algorithm model-checking gradient-descent polynomial-regression linear-regression-models loss-functions gradient-descent-algorithm overfitting underfitting

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