MachineLearningWithPython
machine_learning_basics
Our great sponsors
| MachineLearningWithPython | machine_learning_basics | |
|---|---|---|
| 1 | 5 | |
| 144 | 4,199 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 2 years ago | 3 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
MachineLearningWithPython
-
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
machine_learning_basics
-
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
What are some alternatives?
Tic-Tac-Toe-Gym - This is the Tic-Tac-Toe game made with Python using the PyGame library and the Gym library to implement the AI with Reinforcement Learning
Financial-Models-Numerical-Methods - Collection of notebooks about quantitative finance, with interactive python code.
pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
100-Days-Of-ML-Code - 100 Days of ML Coding
perceptron-asm - A single-layer perceptron in x86 assembly to distinguish between circles and rectangles.
mango - Parallel Hyperparameter Tuning in Python
nlp-class - A Natural Language Processing course taught by Professor Ghassemi
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.
ml-mipt - Former repository of ML course. Redirect link included
trulens - Evaluation and Tracking for LLM Experiments
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.
rmi - A learned index structure