Adi Kusuma
About me: research and coding lover
Total Score: 167
Homework submissions
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: 6 = 5 (questions) + 1 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 3: Machine Learning for Classification
Score: 7 = 6 (questions) + 1 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 4: Evaluation Metrics for Classification
Score: 6 = 6 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 5: Deploying Machine Learning Models
Score: 7 = 6 (questions) + 1 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 6: Decision Trees and Ensemble Learning
Score: 6 = 6 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 8: Neural Networks and Deep Learning
Score: 4 = 4 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 9: Serverless Deep Learning
Score: 5 = 5 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 10: Kubernetes and TensorFlow Serving
Score: 8 = 7 (questions) + 1 (FAQ) + 0 (learning in public)
Homework URL: View submission
ML Zoomcamp 2024 Competition
Score: 24 = 20 (questions) + 0 (FAQ) + 4 (learning in public)
Learning in public links: Show
Article
Score: 23 = 20 (questions) + 0 (FAQ) + 3 (learning in public)
Homework URL: View submission
Learning in public links: Show
Project submissions
Midterm Project
Project score: 13 Failed
Score: 13 = 13 (project) + 0 (peer review) + 0 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)
Project URL: View project
Capstone 1
Project score: 11 Failed
Score: 25 = 11 (project) + 0 (peer review) + 13 (learning in public / project) + 0 (learning in public / peer review) + 1 (FAQ)
Project URL: View project
Learning in public links: Show
- https://optuna.org/
- https://scikit-learn.org/1.5/modules/generated/sklearn.ensemble.RandomForestRegressor.html
- https://catboost.ai/docs/en/
- https://scikit-learn.org/1.5/auto_examples/ensemble/plot_gradient_boosting_regression.html
- https://docs.docker.com/get-started/docker-concepts/building-images/writing-a-dockerfile/
- https://pipenv.pypa.io/en/latest/pipfile.html
- https://flask.palletsprojects.com/en/stable/quickstart/
- https://www.unicorn-engine.org/
- https://www.analyticsvidhya.com/blog/2015/12/improve-machine-learning-results/
- https://www.youtube.com/c/DataTalksClub
- https://open.spotify.com/show/0pck8zuiXdI0OrCg86DAPy
- https://docs-cortex.paloaltonetworks.com/r/Cortex-XSIAM/Cortex-XSIAM-Developer-Guide/Set-up-a-GitHub-Codespace-environment
- https://www.kaggle.com/code/gusthema/house-prices-prediction-using-tfdf
Capstone 2
Project score: 14 Failed
Score: 26 = 14 (project) + 0 (peer review) + 11 (learning in public / project) + 0 (learning in public / peer review) + 1 (FAQ)
Project URL: View project
Learning in public links: Show
- https://optuna.org/
- https://scikit-learn.org/1.5/modules/generated/sklearn.ensemble.RandomForestRegressor.html
- https://catboost.ai/docs/en/
- https://www.linkedin.com/posts/adikusum4_mlzoomcamp-activity-7289418244036169728-40BW?utm_source=share&utm_medium=member_desktop
- https://github.com/deliberato/Obesity-project
- https://github.com/ine-rmotr-projects/RDP-health-and-obesity-trends
- https://github.com/pymche/Machine-Learning-Obesity-Classification
- https://github.com/DATA606Project-TeamS/CapstoneProject-ObesityandML
- https://github.com/yashksaini-coder/Multi-Class-Prediction-of-Obesity-Risk
- https://github.com/ryan-zhenqi-zhou/GRF
- https://github.com/AshrafMah/Obesity-Risk-Prediction