Homework 1: Introduction to Machine Learning
Score: 9 = 7 (questions) + 1 (FAQ) + 1 (learning in public)
Homework URL: View submission
Machine Learning Zoomcamp 2025
N Sriram
Total Score
146
Homework submissions
Homework 2: Machine Learning for Regression
Score: 7 = 3 (questions) + 1 (FAQ) + 3 (learning in public)
Homework URL: View submission
Homework 3: Machine Learning for Classification
Score: 11 = 5 (questions) + 1 (FAQ) + 5 (learning in public)
Homework URL: View submission
Learning in public links
- 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
- 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
Homework 5: Deploying Machine Learning Models
Score: 11 = 6 (questions) + 1 (FAQ) + 4 (learning in public)
Homework URL: View submission
Homework 6: Decision Trees and Ensemble Learning
Score: 14 = 6 (questions) + 1 (FAQ) + 7 (learning in public)
Homework URL: View submission
Learning in public links
- https://scikit-learn.org/stable/modules/tree.html
- https://ken-hoffman.medium.com/decision-tree-hyperparameters-explained-49158ee1268e
- https://towardsdatascience.com/visualising-decision-trees/
- https://www.kaggle.com/code/prashant111/bagging-vs-boosting
- https://www.analyticsvidhya.com/blog/2023/01/ensemble-learning-methods-bagging-boosting-and-stacking/
- https://www.mygreatlearning.com/blog/bagging-boosting/
- https://sebastianraschka.com/faq/docs/bagging-boosting-rf.html
Homework 8: Neural Networks and Deep Learning
Score: 13 = 6 (questions) + 1 (FAQ) + 6 (learning in public)
Homework URL: View submission
Learning in public links
- https://docs.pytorch.org/tutorials/beginner/basics/intro.html
- https://docs.pytorch.org/tutorials/beginner/basics/optimization_tutorial.html
- https://medium.com/@piyushkashyap045/how-to-save-and-load-checkpoints-for-training-a-cnn-with-pytorch-e17395cdbd3d
- https://www.tensorflow.org/tutorials/images/transfer_learning
- https://docs.pytorch.org/tutorials/beginner/transfer_learning_tutorial.html
- https://docs.pytorch.org/vision/0.22/transforms.html
Homework 9: Serverless Deep Learning
Score: 11 = 5 (questions) + 1 (FAQ) + 5 (learning in public)
Homework URL: View submission
Learning in public links
- https://www.youtube.com/watch?v=Wp5PaRpudlk&themeRefresh=1
- https://www.splunk.com/en_us/blog/learn/open-neural-network-exchange-onnx.html
- https://docs.aws.amazon.com/lambda/latest/dg/images-create.html
- https://docs.pytorch.org/vision/main/transforms.html
- https://nicd.org.uk/knowledge-hub/serving-machine-learning-models-using-aws-lambda
Only scored homework submissions appear here.
Project submissions
Midterm Project
PassedScore: 30 = 14 (project) + 9 (peer review) + 6 (learning in public / project) + 0 (learning in public / peer review) + 1 (FAQ)
Project URL: View project
Learning in public links
- https://joblib.readthedocs.io/en/latest/
- https://scikit-learn.org/stable/modules/compose.html
- https://medium.com/@abhaysingh71711/building-smarter-ml-pipelines-with-column-transformers-895904e97254
- https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html
- https://www.kaggle.com/code/imoore/intro-to-exploratory-data-analysis-eda-in-python
- https://medium.com/@tarangds/a-comprehensive-guide-to-data-imputation-techniques-strategies-and-best-practices-152a10fee543
Capstone 2
PassedScore: 30 = 16 (project) + 9 (peer review) + 4 (learning in public / project) + 0 (learning in public / peer review) + 1 (FAQ)
Project URL: View project
Learning in public links
- https://www.geeksforgeeks.org/machine-learning/random-forest-hyperparameter-tuning-in-python/
- https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html
- https://developers.google.com/machine-learning/decision-forests/random-forests
- https://huggingface.co/docs/huggingface_hub/en/guides/upload
Only completed project submissions appear here.