machine_learning_basics
borb-google-colab-examples
| machine_learning_basics | borb-google-colab-examples | |
|---|---|---|
| 5 | 3 | |
| 4,205 | 10 | |
| - | - | |
| 0.0 | 0.0 | |
| 3 months ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | GNU General Public License v3.0 only |
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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
borb-google-colab-examples
What are some alternatives?
Financial-Models-Numerical-Methods - Collection of notebooks about quantitative finance, with interactive python code.
ta - Technical Analysis Library using Pandas and Numpy
100-Days-Of-ML-Code - 100 Days of ML Coding
Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
mango - Parallel Hyperparameter Tuning in Python
pythoncode-tutorials - The Python Code Tutorials
trulens - Evaluation and Tracking for LLM Experiments
borb - borb is a library for reading, creating and manipulating PDF files in python.
rmi - A learned index structure
go-wkhtmltopdf - Go bindings for wkhtmltopdf and high-level HTML to PDF conversion interface
PyImpetus - PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features
chromic_pdf - Convenient HTML to PDF/A rendering library for Elixir based on Chrome & Ghostscript