rmsander / learning-machine_learningLinks
A repository for learning the fundamentals of machine learning through concepts, implementation, and real-world examples.
☆14Updated this week
Alternatives and similar repositories for learning-machine_learning
Users that are interested in learning-machine_learning are comparing it to the libraries listed below
Sorting:
- ☆50Updated 3 years ago
- Data manipulation, analysis and visualisation in Python - specialist course Doctoral schools of Ghent University☆114Updated 2 weeks ago
- Materials for "Parallelizing Scientific Python with Dask"☆70Updated 7 years ago
- Robust piecewise regression☆14Updated 2 weeks ago
- Metadata-aware machine learning.☆104Updated 4 years ago
- Deep Learning from Scratch with PyTorch☆121Updated 5 years ago
- PyData London 2022 Tutorial☆69Updated 3 years ago
- Simple examples of data pipelines from xarray to ML training☆22Updated 6 years ago
- Predict earthquake rupture probability with bayesian deep learning☆15Updated 6 years ago
- ☆39Updated 7 years ago
- This repository contains the laboratory portion of an upper level undergraduate class in Python on data visualization and statistics for …☆38Updated 5 years ago
- Workshop on Bayesian inference using PyMC☆27Updated 4 years ago
- Recombinator is a Python package for statistical resampling in Python. It provides various algorithms for the iid bootstrap, the block bo…☆50Updated last year
- scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python☆42Updated 3 years ago
- ☆23Updated 11 months ago
- ☆25Updated 8 years ago
- ☆50Updated 7 years ago
- Scipy 2019 Tutorial☆36Updated 6 years ago
- SciPy Conference Materials☆50Updated last week
- This is the Intermediate Data Science Workshop for the 2019 Scientific Python conference in Austin, TX.☆78Updated 2 years ago
- Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tut…☆76Updated 2 months ago
- Slides for quantstack talks☆14Updated 5 years ago
- IPython Notebooks☆118Updated 7 years ago
- sktime workshops & tutorials☆14Updated 4 years ago
- A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using th…☆120Updated 3 years ago
- Material (Jupyter Notebooks) for the University of Otago Climate Data and Analytics Workshop (26 May 2022)☆13Updated 3 years ago
- Matlab toolbox for dynamic linear models☆13Updated 4 years ago
- PySAL Workshop at SciPy India 2020☆19Updated 5 years ago
- Tackling Climate Change with Time Series Analysis and Forecasting☆31Updated last month
- Using computational thinking to get deep insights on the foundations of linear algebra☆116Updated 9 months ago