Homework 1: Introduction to Machine Learning

Score: 7 = 7 (questions) + 0 (FAQ) + 0 (learning in public)

Homework URL: View submission

Homework 2: Machine Learning for Regression

Score: 5 = 5 (questions) + 0 (FAQ) + 0 (learning in public)

Homework URL: View submission

Homework 3: Machine Learning for Classification

Score: 5 = 5 (questions) + 0 (FAQ) + 0 (learning in public)

Homework URL: View submission

Homework 4: Evaluation Metrics for Classification

Score: 4 = 4 (questions) + 0 (FAQ) + 0 (learning in public)

Homework URL: View submission

Homework 6: Decision Trees and Ensemble Learning

Score: 9 = 6 (questions) + 0 (FAQ) + 3 (learning in public)

Homework URL: View submission

Learning in public links: Show

• https://knowmledge.com/category/courses/ml-zoomcamp/decision-trees/
• https://scikit-learn.org/dev/modules/generated/sklearn.ensemble.RandomForestRegressor.html
• https://scikit-learn.org/dev/modules/generated/sklearn.tree.DecisionTreeRegressor.html

Homework 8: Neural Networks and Deep Learning

Score: 6 = 6 (questions) + 0 (FAQ) + 0 (learning in public)

Homework URL: View submission

Midterm Project

Project score: 14 Passed

Score: 29 = 14 (project) + 9 (peer review) + 5 (learning in public / project) + 0 (learning in public / peer review) + 1 (FAQ)

Project URL: View project

Learning in public links: Show

• https://www.kaggle.com/code/youssefelbadry10/diabetes-classifier-eda-ml
• https://plotly.com/python/
• https://scikit-learn.org/1.5/modules/generated/sklearn.linear_model.LogisticRegression.html
• https://scikit-learn.org/dev/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html
• https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html

Capstone 1

Project score: 16 Passed

Score: 31 = 16 (project) + 9 (peer review) + 5 (learning in public / project) + 0 (learning in public / peer review) + 1 (FAQ)

Project URL: View project

Learning in public links: Show

• https://xgboost.readthedocs.io/en/stable/parameter.html
• https://scikit-learn.org/1.5/modules/generated/sklearn.ensemble.RandomForestClassifier.html
• https://www.ibm.com/think/topics/classification-models
• https://www.spiceworks.com/tech/artificial-intelligence/articles/what-is-logistic-regression/#:~:text=Logistic%20regression%20is%20a%20supervised%20machine%20learning%20algorithm%20that%20accomplishes,1%2C%20or%20true%2Ffalse.
• https://scikit-learn.org/1.5/modules/tree.html