ineelhere | Machine Learning and Data Science
This repository contains basic to advanced codes related to data science and its applications using python.
References-
- https://academy.zerotomastery.io/p/complete-machine-learning-and-data-science-bootcamp-zero-to-mastery
- https://www.oreilly.com/library/view/python-for-data/9781491957653/
- https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/
- https://docs.python.org/3/
- https://numpy.org/doc/
- http://www.astroml.org/book_figures/appendix/fig_broadcast_visual.html
- https://pandas.pydata.org/docs/
- https://matplotlib.org/3.3.1/contents.html
- https://scikit-learn.org/stable/
- https://scikit-learn.org/stable/user_guide.html
- https://seaborn.pydata.org/generated/seaborn.heatmap.html
- https://scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_score.html#sklearn.metrics.precision_score
- https://scikit-learn.org/stable/modules/generated/sklearn.metrics.recall_score.html#sklearn.metrics.recall_score
- https://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html#sklearn.metrics.f1_score
- https://www.dataschool.io/simple-guide-to-confusion-matrix-terminology/
- https://scikit-learn.org/stable/modules/cross_validation.html
- https://scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html
- https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html
- https://scikit-learn.org/stable/modules/model_evaluation.html
- https://towardsdatascience.com/beyond-accuracy-precision-and-recall-3da06bea9f6c
- https://stackoverflow.com/questions/17197492/is-there-a-library-function-for-root-mean-square-error-rmse-in-python/37861832#37861832
Will be updating periodically
Collaborations are always welcome. Have fun!
Just kidding!
Please let me know if you find errors :)
