Unruffled Cray
Total Score: 74
Homework submissions
Homework 1: Introduction to Machine Learning
Score: 14 = 7 (questions) + 1 (FAQ) + 6 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://www.ibm.com/topics/linear-regression#:~:text=IBM-,What%20is%20linear%20regression%3F,is%20called%20the%20independent%20variable.
- https://numpy.org/doc/stable/reference/generated/numpy.average.html
- https://www.linkedin.com/posts/okellodaniel_machinelearningzoomcamp-machinelearning-datascience-activity-7245306752261382144-aKUB?utm_source=share&utm_medium=member_desktop
- https://ncert.nic.in/textbook/pdf/keip106.pdf
- https://faculty.washington.edu/otoomet/machinelearning-py/numpy-and-pandas.html
- https://faculty.washington.edu/otoomet/machinelearning-py/numpy-and-pandas.html#pandas-indexing-dataframes
Homework 2: Machine Learning for Regression
Score: 13 = 5 (questions) + 1 (FAQ) + 7 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://developers.google.com/machine-learning/crash-course/linear-regression
- https://towardsdatascience.com/feature-engineering-combination-polynomial-features-3caa4c77a755
- https://www.displayr.com/what-is-feature-engineering/
- https://mlu-explain.github.io/linear-regression/
- https://www.statisticshowto.com/probability-and-statistics/regression-analysis/rmse-root-mean-square-error/
- https://c3.ai/glossary/data-science/root-mean-square-error-rmse/
- https://www.freecodecamp.org/news/build-a-linear-regression-model-with-an-example/
Homework 3: Machine Learning for Classification
Score: 11 = 6 (questions) + 0 (FAQ) + 5 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://scikit-learn.org/stable/modules/preprocessing.html
- https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
- https://scikit-learn.org/1.5/modules/generated/sklearn.metrics.mutual_info_score.html
- https://brainly.com/question/38249134
- https://www.statology.org/invalid-value-encountered-in-true_divide/
Homework 4: Evaluation Metrics for Classification
Score: 9 = 5 (questions) + 0 (FAQ) + 4 (learning in public)
Homework URL: View submission
Learning in public links: Show
Homework 5: Deploying Machine Learning Models
Score: 14 = 6 (questions) + 1 (FAQ) + 7 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://dev.to/okellodaniel/unlocking-practical-machine-learning-skills-with-datatalksclubs-machine-learning-zoomcamp-ccg
- https://practical-machine-learning-skills.hashnode.dev/unlocking-practical-machine-learning-skills-with-datatalksclubs-machine-learning-zoomcamp
- https://twitter.com/OkelloDani/status/1851454601519669759
- https://twitter.com/OkelloDani/status/1851454788048695369
- https://twitter.com/OkelloDani/status/1851455641459528057
- https://twitter.com/OkelloDani/status/1851455334780477523
- https://twitter.com/OkelloDani/status/1851456220055617638
Homework 6: Decision Trees and Ensemble Learning
Score: 13 = 5 (questions) + 1 (FAQ) + 7 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://x.com/OkelloDani/status/1854016374613455327
- https://x.com/OkelloDani/status/1854016844908077099
- https://x.com/OkelloDani/status/1854017551828758732
- https://x.com/OkelloDani/status/1854017781831790837
- https://x.com/OkelloDani/status/1854017903781171360
- https://x.com/OkelloDani/status/1854018192663888247
- https://x.com/OkelloDani/status/1854018416723849395