Kang Ming Xuan
Total Score: 192
Homework submissions
Homework 1: Introduction to Machine Learning
Score: 12 = 6 (questions) + 0 (FAQ) + 6 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://www.linkedin.com/posts/kangmx_machinelearning-zoomcamp-python-activity-7376220051915403264-uYT8/
- https://www.canva.com/design/DAGzrtoC7jw/m_lM4aoFVRwAp65NojUx4A/edit?ui=e30
- https://stackoverflow.com/questions/24101524/finding-median-of-list-in-python
- https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.fillna.html
- https://www.geeksforgeeks.org/pandas/get-first-n-records-of-a-pandas-dataframe/
- https://www.geeksforgeeks.org/dsa/program-find-sum-elements-given-array/
Homework 2: Machine Learning for Regression
Score: 12 = 6 (questions) + 0 (FAQ) + 6 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://www.linkedin.com/feed/update/urn:li:share:7380648027461632000/
- https://www.canva.com/design/DAGzrtoC7jw/m_lM4aoFVRwAp65NojUx4A/edit?ui=e30
- https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.median.html
- https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.mean.html
- https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.sort_values.html
- https://www.ibm.com/docs/en/db2-event-store/2.0.0?topic=notebooks-markdown-jupyter-cheatsheet
Homework 3: Machine Learning for Classification
Score: 14 = 6 (questions) + 1 (FAQ) + 7 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://www.geeksforgeeks.org/python/python-pandas-dataframe-fillna-to-replace-null-values-in-dataframe/
- https://www.w3schools.com/datascience/ds_stat_correlation_matrix.asp
- https://www.kaggle.com/discussions/questions-and-answers/58368
- https://scikit-learn.org/stable/modules/feature_extraction.html
- https://scikit-learn.org/stable/modules/feature_selection.html
- https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.DictVectorizer.html
- https://www.linkedin.com/posts/kangmx_ml-zoomcamp-homework03-classificationhomeworkipynb-activity-7383456486506553345-QUZe?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAADZ7zokBjWY3QLwaP-WnCu_lCWI2hRQv5vQ
Homework 4: Evaluation Metrics for Classification
Score: 13 = 6 (questions) + 0 (FAQ) + 7 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://www.linkedin.com/posts/kangmx_ml-zoomcamp-homework04-evaluationhomeworkipynb-activity-7385638371810795520-XQwr/
- https://www.geeksforgeeks.org/machine-learning/auc-roc-curve/
- https://builtin.com/data-science/precision-and-recall
- https://www.v7labs.com/blog/f1-score-guide
- https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html
- https://developers.google.com/machine-learning/crash-course/classification/roc-and-auc
- https://www.geeksforgeeks.org/machine-learning/confusion-matrix-machine-learning/
Homework 5: Deploying Machine Learning Models
Score: 12 = 5 (questions) + 0 (FAQ) + 7 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://hub.docker.com/layers/kangmx/conversion-v3/latest/images/sha256:eb67a51d853655e06047b7b3d2fadbb36dccf167ba2449ffb0055d4769be374c?uuid=30AE8A45-B7A8-4EA8-98EF-185E0E52DDA2
- https://www.geeksforgeeks.org/linux-unix/introduction-to-linux-operating-system/
- https://docs.astral.sh/uv/pip/environments/#creating-a-virtual-environment
- https://www.geeksforgeeks.org/devops/introduction-to-docker/
- https://andrewlock.net/installing-docker-desktop-for-windows/
- https://www.youtube.com/watch?v=jzGzw98Eikk
- https://www.linkedin.com/posts/kangmx_mlzoomcamp-machinelearning-fastapi-activity-7388484605785587712-S9j0/
Homework 6: Decision Trees and Ensemble Learning
Score: 13 = 6 (questions) + 0 (FAQ) + 7 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://www.linkedin.com/posts/kangmx_mlzoomcamp-machinelearning-xgboost-activity-7391074174250840064-wltC
- https://www.canva.com/design/DAGzrtoC7jw/m_lM4aoFVRwAp65NojUx4A/edit
- https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html
- https://scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html
- https://xgboost.readthedocs.io/en/stable/
- https://www.geeksforgeeks.org/machine-learning/difference-between-random-forest-vs-xgboost/
- https://www.geeksforgeeks.org/machine-learning/feature-importance-with-random-forests/
Homework 8: Neural Networks and Deep Learning
Score: 13 = 6 (questions) + 0 (FAQ) + 7 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://keras.io/api/applications/xception/
- https://keras.io/
- https://docs.pytorch.org/tutorials/beginner/basics/intro.html
- https://www.geeksforgeeks.org/machine-learning/introduction-convolution-neural-network/
- https://colab.google/
- https://www.ibm.com/think/topics/deep-learning
- https://www.geeksforgeeks.org/deep-learning/introduction-deep-learning/
Homework 9: Serverless Deep Learning
Score: 12 = 5 (questions) + 0 (FAQ) + 7 (learning in public)
Homework URL: View submission
Learning in public links: Show
Homework 10: Kubernetes
Score: 14 = 7 (questions) + 0 (FAQ) + 7 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://kubernetes.io/docs/home/
- https://chocolatey.org/install
- https://kind.sigs.k8s.io/docs/user/quick-start/
- https://docs.github.com/en/repositories/creating-and-managing-repositories/cloning-a-repository
- https://www.cloudbees.com/blog/yaml-tutorial-everything-you-need-get-started
- https://medium.com/@tradingcontentdrive/creating-a-kind-kubernetes-cluster-a-step-by-step-guide-7b51de16f99c
- https://www.ibm.com/think/topics/yaml
Project submissions
Midterm Project
Project score: 16 Passed
Score: 39 = 16 (project) + 9 (peer review) + 14 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)
Project URL: View project
Learning in public links: Show
- https://pandas.pydata.org/docs/reference/api/pandas.to_datetime.html
- https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.month.html
- https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.dayofweek.html
- https://c3.ai/glossary/data-science/root-mean-square-error-rmse/
- https://www.linkedin.com/posts/kangmx_machinelearning-manufacturinganalytics-datascience-activity-7396343896865165312-yFK1/
- https://www.canva.com/design/DAGzrtoC7jw/m_lM4aoFVRwAp65NojUx4A/edit
- https://www.w3schools.com/python/python_ml_linear_regression.asp
- https://scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html
- https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html
- https://www.geeksforgeeks.org/machine-learning/xgboost-for-regression/
- https://seaborn.pydata.org/tutorial/color_palettes.html
- https://www.w3schools.com/python/python_virtualenv.asp
- https://www.docker.com/products/docker-hub/
- https://render.com/
Capstone 2
Project score: 15 Passed
Score: 38 = 15 (project) + 9 (peer review) + 14 (learning in public / project) + 0 (learning in public / peer review) + 0 (FAQ)
Project URL: View project
Learning in public links: Show
- https://data.nasa.gov/dataset/cmapss-jet-engine-simulated-data
- https://www.linkedin.com/posts/kangmx_datascience-machinelearning-deeplearning-activity-7418577903048871936-lejy
- https://fiixsoftware.com/maintenance-metrics/remaining-useful-life/
- https://osapiens-cmms.com/learning-center/remaining-useful-life/
- https://www.datacamp.com/tutorial/multilayer-perceptrons-in-machine-learning
- https://docs.pytorch.org/vision/main/generated/torchvision.ops.MLP.html
- https://www.geeksforgeeks.org/deep-learning/deep-learning-introduction-to-long-short-term-memory/
- https://docs.pytorch.org/docs/stable/generated/torch.nn.LSTM.html
- https://sqlpad.io/tutorial/mastering-python-window-functions-a-comprehensive-guide/
- https://medium.com/data-science/hyper-parameter-tuning-techniques-in-deep-learning-4dad592c63c8
- https://www.geeksforgeeks.org/machine-learning/hyperparameter-tuning/
- https://auth0.com/blog/developing-restful-apis-with-python-and-flask/
- https://www.geeksforgeeks.org/python/python-build-a-rest-api-using-flask/
- https://docs.docker.com/build/