(Day 313) More of sklearn's 'user guide'
November 9, 2024
Hello :) Today is Day 313!
A quick summary of today:
- gaussian processes
- cross decomposition
- naive Bayes
- decision trees
- semi-supervised learning
- manifold learning
- clustering
- biclustering
(Day 312) Reading more of sklearn's Supervised learning doc
November 8, 2024
Hello :) Today is Day 312!
A quick summary of today:
- LDA and QDA
- kernel ridge regression
- SVMs
- SGD
- nearest neighbours
(Day 311) Checking out NODES '24, 10th chapter of LLM engineer's handbook, and linear models in sklearn
November 7, 2024
Hello :) Today is Day 311!
A quick summary of today:
- joining some sessions in NODES 2024
- reading chapter 10 of LLM engineer’s handbook
- reading about not so popular linear models in sklearn’s docs
(Day 310) I passed the Scikit-learn Associate Practitioner Certification
November 6, 2024
Hello :) Today is Day 310!
A quick summary of today:
- did the scikit-learn exam
- streamed for ~30mins
(Day 309) Finishing scikit-learn's MOOC + AI fairness
November 5, 2024
Hello :) Today is Day 309!
A quick summary of today:
- reading some of the fairness python lib docs
- stream studying the last 2 modules of sklearn’s MOOC
(Day 308) Streaming for 5 hours (overall) and reviewing sklearn's MOOC
November 4, 2024
Hello :) Today is Day 308!
A quick summary of today:
- covered module 4 - linear models
- covered module 5 - decision tree models