- machine_learning_basics VS Financial-Models-Numerical-Methods
- machine_learning_basics VS 100-Days-Of-ML-Code
- machine_learning_basics VS mango
- machine_learning_basics VS borb-google-colab-examples
- machine_learning_basics VS PyImpetus
- machine_learning_basics VS rmi
- machine_learning_basics VS iterative-grabcut
- machine_learning_basics VS perceptron-asm
- machine_learning_basics VS Time-series-classification-and-clustering-with-Reservoir-Computing
- machine_learning_basics VS trulens
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machine_learning_basics reviews and mentions
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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.
Stats
zotroneneis/machine_learning_basics is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of machine_learning_basics is Jupyter Notebook.