machine_learning_basics
MachineLearningWithPython
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| machine_learning_basics | MachineLearningWithPython | |
|---|---|---|
| 5 | 1 | |
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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?
Financial-Models-Numerical-Methods - Collection of notebooks about quantitative finance, with interactive python code.
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100-Days-Of-ML-Code - 100 Days of ML Coding
pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
mango - Parallel Hyperparameter Tuning in Python
perceptron-asm - A single-layer perceptron in x86 assembly to distinguish between circles and rectangles.
borb-google-colab-examples - This repository contains some examples of using borb in google colab. These examples enable you to try out the features of borb without installing it on your system. They also ensure the system requirements and imports are all taken care of.
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
Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.