Alternatives and similar repositories for ml-workshop-advanced

Users that are interested in ml-workshop-advanced are comparing it to the libraries listed below

• dennisbakhuis / Tutorials
  Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related
  ☆56Updated 4 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• coiled / data-science-at-scale
  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
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆32Updated last year
• AlexIoannides / ml-workflow-automation
  Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…
  ☆65Updated 2 years ago
• sarincr / Time-series-analysis-using-Python
  Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics…
  ☆34Updated 6 years ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆66Updated 3 years ago
• vaexio / vaex-talks
  Talks about vaex
  ☆36Updated 3 years ago
• fonnesbeck / probabilistic_python
  PyData London 2022 Tutorial
  ☆69Updated 3 years ago
• nickb- / tensorflow-probability-100days
  100 Days of Experimenting with TensorFlow Probability
  ☆39Updated 6 years ago
• outerbounds / full-stack-ML-metaflow-tutorial
  It's all in the name
  ☆82Updated 2 years ago
• rasbt / model-eval-article-supplementary
  Supplementary material for the article "Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning"
  ☆72Updated 3 years ago
• ahmedbesbes / mlflow
  Introduction to MLflow with a demo locally and how to set it on AWS
  ☆43Updated 4 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 3 years ago
• hugobowne / deep-learning-from-scratch-pytorch
  Deep Learning from Scratch with PyTorch
  ☆121Updated 5 years ago
• thomasjpfan / ml-workshop-intro
  Introduction to scikit-learn: Machine Learning in Python
  ☆20Updated 3 years ago
• canyon289 / PyTestforDataScience_PyDataLA
  Pytest for Data Science Beginners
  ☆60Updated 7 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• rasbt / scipy2022-talk
  ☆26Updated 3 years ago
• derevirn / pycaret-book
  Repository for the book Simplifying Machine Learning with PyCaret.
  ☆66Updated 2 years ago
• L-Lewis / Predicting-traffic-accidents-CNN
  ☆37Updated 5 years ago
• drivendataorg / power-laws-cold-start
  ☆24Updated 2 years ago
• ronikobrosly / scipy_2022_causal_inference_tutorial
  A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session
  ☆32Updated 3 years ago
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆66Updated last year
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• EthicalML / explainability-and-bias
  ☆103Updated 2 years ago
• vcerqueira / experiments-sizematters
  Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
  ☆41Updated last month
• AllenDowney / BayesianInferencePyMC
  Workshop on Bayesian inference using PyMC
  ☆27Updated 4 years ago
• corriebar / PyLadies-Bayesian-Tutorial
  Material for the PyLadies Bayesian Tutorial, Feb 11, 2020
  ☆12Updated 3 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 3 years ago