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Search: Introduction-to-Machine-Learning
Page 4
Showing 10 results from 207
purushottamkar/ml19-20a
GitHub Jupyter Notebook MIT LicenseCS 771A: Introduction to Machine Learning, IIT Kanpur, 2019-20-autumn offering
External source
GitHub
PredictiveScienceLab/data-analytics-se
GitHub Jupyter Notebook GNU General Public License v3.0ME 539 - Introduction to Scientific Machine Learning
External source
GitHub
cromano8/Snowflake_ML_Intro
GitHub Jupyter NotebookIntroduction to performing Machine Learning on Snowflake
External source
GitHub
purushottamkar/ml19-20w
GitHub Jupyter Notebook MIT LicenseCS 771A: Introduction to Machine Learning, IIT Kanpur, 2019-20-winter offering
External source
GitHub
sktime/sktime-tutorial-pydata-amsterdam-2020
GitHub Jupyter Notebook BSD 3-Clause "New" or "Revised" LicenseIntroduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020
External source
GitHub
coiled/data-science-at-scale
GitHub Jupyter Notebook MIT LicenseA Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using the tools and APIs you know and love from the PyData stack (such as numpy, pandas, and scikit-learn).
External source
GitHub
gaih/introduction-to-machine-learning
GitHub Jupyter NotebookNo description available from source.
External source
GitHub
bg-write/chatGPT-cheatsheet
GitHub Python MIT LicenseAn ever-evolving introduction to ChatGPT, AI, and machine learning (including prompt examples and Python-built chatbots)
External source
GitHub
soravux/pytorch_tutorial
GitHub PythonQuick PyTorch introduction and tutorial. Targets computer vision, graphics and machine learning researchers eager to try a new framework.
External source
GitHub
Prooffreader/intro_machine_learning
GitHub Jupyter Notebook MIT LicenseIntroduction to Machine Learning, a series of IPython Notebook and accompanying slideshow and video
External source
GitHub
10 results on this page ยท 207 total found
Showing first 207 accessible GitHub results.