machine_learning_basics
MachineLearningWithPython
| machine_learning_basics | MachineLearningWithPython | |
|---|---|---|
| 5 | 1 | |
| 4,205 | 144 | |
| - | - | |
| 0.0 | 0.0 | |
| 3 months ago | almost 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
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machine_learning_basics
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Bayesian linear regression in (plain) Python
A while back I open sourced a repository implementing fundamental machine learning algorithms in Python, along with the most important theoretical information. I originally created the repository for myself when preparing for AI residency interviews. You can find the original Reddit post here.
- Bayesian linear regression in Python
MachineLearningWithPython
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Machine Learning with Python | FULL course | 15 lessons with 15 projects | Material available (see in comments) | First lesson: k-Nearest Classifier | Apply model on real data: weather data
GitHub for material: https://github.com/LearnPythonWithRune/MachineLearningWithPython
What are some alternatives?
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mango - Parallel Hyperparameter Tuning in Python
nlp-class - A Natural Language Processing course taught by Professor Ghassemi
trulens - Evaluation and Tracking for LLM Experiments
ml-mipt - Former repository of ML course. Redirect link included
rmi - A learned index structure
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