Batthosai
Total Score: 75
Homework submissions
Homework 1: Introduction to Machine Learning
Score: 13 = 6 (questions) + 0 (FAQ) + 7 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://data-flair.training/blogs/numpy-linear-algebra/
- https://data-flair.training/blogs/pandas-tutorials-home/
- https://data-flair.training/blogs/pandas-dataframe/
- https://data-flair.training/blogs/pandas-series/
- https://data-flair.training/blogs/pandas-index-and-select/
- https://data-flair.training/blogs/pandas-merge-and-join/
- https://data-flair.training/blogs/aggregation-and-grouping-in-pandas/
Homework 2: Machine Learning for Regression
Score: 11 = 4 (questions) + 0 (FAQ) + 7 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://www.kaggle.com/code/parulpandey/a-guide-to-handling-missing-values-in-python
- https://www.analyticsvidhya.com/blog/2021/05/dealing-with-missing-values-in-python-a-complete-guide/
- https://www.dataquest.io/blog/regularization-in-machine-learning/
- https://developer.nvidia.com/blog/a-comprehensive-overview-of-regression-evaluation-metrics/
- https://www.v7labs.com/blog/train-validation-test-set
- https://scikit-learn.org/dev/modules/generated/sklearn.model_selection.TimeSeriesSplit.html
- https://github.com/sbhmaheshwari/Projects/tree/master/Machine%20Learning
Homework 3: Machine Learning for Classification
Score: 12 = 5 (questions) + 0 (FAQ) + 7 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://stackoverflow.com/questions/18885175/read-a-zipped-file-as-a-pandas-dataframe
- https://blog.aspose.com/zip/extract-nested-zip-in-python/
- https://stackoverflow.com/questions/29438265/stratified-train-test-split-in-scikit-learn
- https://code.likeagirl.io/good-train-test-split-an-approach-to-better-accuracy-91427584b614
- https://scikit-learn.org/0.16/modules/generated/sklearn.linear_model.LogisticRegression.html
- https://scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_l1_l2_sparsity.html
- https://stackoverflow.com/questions/67513075/what-is-c-parameter-in-sklearn-logistic-regression
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.evidentlyai.com/classification-metrics/explain-roc-curve
- https://scikit-learn.org/1.5/modules/generated/sklearn.metrics.precision_recall_curve.html
- https://scikit-learn.org/1.5/modules/generated/sklearn.metrics.f1_score.html
- https://scikit-learn.org/1.5/modules/generated/sklearn.metrics.fbeta_score.html
- https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html
- https://scikit-learn.org/stable/modules/cross_validation.html
- https://dev.to/balapriya/cross-validation-and-hyperparameter-search-in-scikit-learn-a-complete-guide-5ed8
Homework 5: Deploying Machine Learning Models
Score: 13 = 6 (questions) + 0 (FAQ) + 7 (learning in public)
Homework URL: View submission
Learning in public links: Show
- https://stackoverflow.com/questions/51342408/how-do-i-install-python-packages-in-googles-colab
- https://neptune.ai/blog/saving-trained-model-in-python
- https://github.com/pranaychandekar/ml-prediction-web-service
- https://colab.research.google.com/github/jigsawlabs-student/docker-intro/blob/master/0-docker-intro/1-intro-to-docker.ipynb
- https://colab.research.google.com/drive/1Lmbkc7v7XjSWK64E3NY1cw7iJ0sF1brl#scrollTo=Rvk8mHQ1UTbN
- https://stackoverflow.com/questions/63833593/how-to-run-fastapi-uvicorn-in-google-colab
- https://www.chaindesk.ai/tools/youtube-summarizer/how-to-deploy-machine-learning-model-as-an-api-in-python-fast-api-ZTz26f6XXrQ
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://scikit-learn.org/dev/modules/generated/sklearn.tree.DecisionTreeRegressor.html
- https://www.geeksforgeeks.org/how-do-i-find-which-attributes-my-tree-splits-on-when-using-scikit-learn/
- https://www.geeksforgeeks.org/random-forest-regression-in-python/
- https://scikit-learn.org/dev/modules/generated/sklearn.ensemble.RandomForestRegressor.html#sklearn.ensemble.RandomForestRegressor
- https://xgboost.readthedocs.io/en/stable/parameter.html
- https://stackoverflow.com/questions/61471765/xgboost-what-data-to-use-in-the-watchlist
- https://www.geeksforgeeks.org/xgboost-for-regression/
Project submissions
No project submissions found.