N Sriram
Total Score: 37
Homework submissions
Homework 1: Introduction to Machine Learning
Score: 9 = 7 (questions) + 1 (FAQ) + 1 (learning in public)
Homework URL: View submission
Learning in public links: Show
Homework 2: Machine Learning for Regression
Score: 7 = 3 (questions) + 1 (FAQ) + 3 (learning in public)
Homework URL: View submission
Learning in public links: Show
Homework 3: Machine Learning for Classification
Score: 11 = 5 (questions) + 1 (FAQ) + 5 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://medium.com/@RobuRishabh/logistic-regression-c2d2bac7afd8
- https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html
- https://medium.com/data-and-beyond/mastering-exploratory-data-analysis-eda-everything-you-need-to-know-7e3b48d63a95
- https://miykael.github.io/blog/2022/advanced_eda/
- https://developers.google.com/machine-learning/crash-course/classification/accuracy-precision-recall
Homework 4: Evaluation Metrics for Classification
Score: 10 = 4 (questions) + 1 (FAQ) + 5 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://www.evidentlyai.com/classification-metrics/explain-roc-curve
- https://neptune.ai/blog/f1-score-accuracy-roc-auc-pr-auc
- https://www.datacamp.com/tutorial/auc
- https://www.evidentlyai.com/classification-metrics/confusion-matrix
- https://medium.com/@mehrdadhz.75/why-we-should-use-k-fold-cross-validation-63209c8046f9
Project submissions
No project submissions found.