Day 22 resources
1. https://medium.com/thalus-ai/performance-metrics-for-classification-problems-in-machine-learning-part-i-b085d432082b
2. https://towardsdatascience.com/metrics-to-evaluate-your-machine-learning-algorithm-f10ba6e38234
3. https://towardsdatascience.com/20-popular-machine-learning-metrics-part-1-classification-regression-evaluation-metrics-1ca3e282a2ce
4. https://www.analyticsvidhya.com/blog/2019/08/11-important-model-evaluation-error-metrics/
5. https://medium.com/usf-msds/choosing-the-right-metric-for-machine-learning-models-part-1-a99d7d7414e4
6. https://www.kaggle.com/vipulgandhi/how-to-choose-right-metric-for-evaluating-ml-model
1. https://medium.com/thalus-ai/performance-metrics-for-classification-problems-in-machine-learning-part-i-b085d432082b
2. https://towardsdatascience.com/metrics-to-evaluate-your-machine-learning-algorithm-f10ba6e38234
3. https://towardsdatascience.com/20-popular-machine-learning-metrics-part-1-classification-regression-evaluation-metrics-1ca3e282a2ce
4. https://www.analyticsvidhya.com/blog/2019/08/11-important-model-evaluation-error-metrics/
5. https://medium.com/usf-msds/choosing-the-right-metric-for-machine-learning-models-part-1-a99d7d7414e4
6. https://www.kaggle.com/vipulgandhi/how-to-choose-right-metric-for-evaluating-ml-model
Medium
Performance Metrics for Classification problems in Machine Learning
“Numbers have an important story to tell. They rely on you to give them a voice.” — Stephen Few
1. https://www.analyticsvidhya.com/blog/2019/10/mathematics-behind-machine-learning/
2. https://towardsdatascience.com/understanding-the-mathematics-behind-gradient-descent-dde5dc9be06e
3. https://www.youtube.com/watch?v=jc2IthslyzM
4. https://medium.com/deep-math-machine-learning-ai/chapter-1-2-gradient-descent-with-math-d4f2871af402
5. https://ml-cheatsheet.readthedocs.io/en/latest/gradient_descent.html
6. https://www.charlesbordet.com/en/gradient-descent/#but-the-maths
7. https://hackernoon.com/gradient-descent-aynk-7cbe95a778da
8.https://towardsdatascience.com/gradient-descent-algorithm-and-its-variants-10f652806a3
9.https://www.analyticsvidhya.com/blog/2017/03/introduction-to-gradient-descent-algorithm-along-its-variants/
2. https://towardsdatascience.com/understanding-the-mathematics-behind-gradient-descent-dde5dc9be06e
3. https://www.youtube.com/watch?v=jc2IthslyzM
4. https://medium.com/deep-math-machine-learning-ai/chapter-1-2-gradient-descent-with-math-d4f2871af402
5. https://ml-cheatsheet.readthedocs.io/en/latest/gradient_descent.html
6. https://www.charlesbordet.com/en/gradient-descent/#but-the-maths
7. https://hackernoon.com/gradient-descent-aynk-7cbe95a778da
8.https://towardsdatascience.com/gradient-descent-algorithm-and-its-variants-10f652806a3
9.https://www.analyticsvidhya.com/blog/2017/03/introduction-to-gradient-descent-algorithm-along-its-variants/
Business Statistics ( PDFDrive.com ).pdf
17 MB
You can't be a good datascientist if you are weak in statistics. This is the best book to learn statistics for data science.
Day 28 Resources
1. https://www.analyticsvidhya.com/blog/2017/06/a-comprehensive-guide-for-linear-ridge-and-lasso-regression/
2. https://towardsdatascience.com/ridge-and-lasso-regression-a-complete-guide-with-python-scikit-learn-e20e34bcbf0b
3. https://www.youtube.com/watch?v=Q81RR3yKn30
4. https://www.youtube.com/watch?v=NGf0voTMlcs
5. https://www.datacamp.com/community/tutorials/tutorial-ridge-lasso-elastic-net
1. https://www.analyticsvidhya.com/blog/2017/06/a-comprehensive-guide-for-linear-ridge-and-lasso-regression/
2. https://towardsdatascience.com/ridge-and-lasso-regression-a-complete-guide-with-python-scikit-learn-e20e34bcbf0b
3. https://www.youtube.com/watch?v=Q81RR3yKn30
4. https://www.youtube.com/watch?v=NGf0voTMlcs
5. https://www.datacamp.com/community/tutorials/tutorial-ridge-lasso-elastic-net
0.pdf
391.5 KB
This is a curated list of tutorials, projects, libraries, videos, papers, books, and anything related to the incredible PyTorch.
Day 30 resources
1. https://www.youtube.com/watch?v=Q81RR3yKn30
2. https://www.youtube.com/watch?v=NGf0voTMlcs
3. https://towardsdatascience.com/intuitions-on-l1-and-l2-regularisation-235f2db4c261
4. http://enhancedatascience.com/2017/07/04/machine-learning-explained-regularization/
5. https://medium.com/datadriveninvestor/l1-l2-regularization-7f1b4fe948f2
6.https://medium.com/datadriveninvestor/l1-l2-regularization-7f1b4fe948f2
7.https://developers.google.com/machine-learning/crash-course/regularization-for-simplicity/l2-regularization
1. https://www.youtube.com/watch?v=Q81RR3yKn30
2. https://www.youtube.com/watch?v=NGf0voTMlcs
3. https://towardsdatascience.com/intuitions-on-l1-and-l2-regularisation-235f2db4c261
4. http://enhancedatascience.com/2017/07/04/machine-learning-explained-regularization/
5. https://medium.com/datadriveninvestor/l1-l2-regularization-7f1b4fe948f2
6.https://medium.com/datadriveninvestor/l1-l2-regularization-7f1b4fe948f2
7.https://developers.google.com/machine-learning/crash-course/regularization-for-simplicity/l2-regularization
2009_Book_TheElementsOfStatisticalLearni.pdf
15.2 MB
The Best book to learn machine learning in depth