Harvard-IACS / 2020F-AC295

Related projects ⓘ

Alternatives and complementary repositories for 2020F-AC295

• dennisbakhuis / Tutorials
  Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related
  ☆56Updated 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…
  ☆113Updated 2 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆77Updated 7 months ago
• iterative / cml_base_case
  ☆20Updated 5 months ago
• juanitorduz / ml_prod_tutorial
  Explore tips and tricks to deploy machine learning models with Docker.
  ☆13Updated last year
• canyon289 / PyTestforDataScience_PyDataLA
  Pytest for Data Science Beginners
  ☆58Updated 6 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆37Updated 2 years ago
• fastforwardlabs / structural-time-series
  Structural Time Series on US electricity demand data
  ☆23Updated 3 years ago
• jcdaniel91 / data-science-python-dask
  Companion Notebooks and Data for Data Science with Python and Dask from Manning Publications
  ☆52Updated 4 years ago
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆26Updated last year
• AlexIoannides / notes-and-demos
  Study notes and demos.
  ☆12Updated 9 months ago
• klemag / pydataLDN_2019-maintainable-code-for-data-science
  ☆47Updated 5 years ago
• tdubon / study_notes
  Repo contains Jupyter notebooks compiled during my review of the programming books listed.
  ☆13Updated 2 years ago
• rasbt / stat451-machine-learning-fs21
  ☆145Updated 2 years ago
• MaartenGr / UnitTesting
  Guide for applying Unit Testing in data-driven projects
  ☆19Updated 4 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆52Updated 2 years ago
• ag-ds-bubble / tseuler
  A library for Time-Series exploration, analysis & modelling.
  ☆17Updated 3 years ago
• smazzanti / valicast
  Validation for forecasts
  ☆18Updated last year
• elleobrien / automatic_testing
  ☆21Updated last year
• ogrisel / euroscipy-2022-time-series
  Tutorial on time-series forcasting with scikit-learn
  ☆36Updated last year
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆18Updated last year
• vaexio / vaex-talks
  Talks about vaex
  ☆36Updated last year
• ehsanma / IDS-566
  Advanced Text Analytics for Business
  ☆15Updated 6 years ago
• braaannigan / data-analysis-with-polars
  Public notebooks and datasets to accompany the Data Analysis with Polars course on Udemy
  ☆42Updated last year
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 3 years ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆30Updated 5 months ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆57Updated 2 years ago
• taknev83 / pywedge
  Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking
  ☆55Updated 3 years ago
• NITRO-AI / NitroFE
  NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …
  ☆106Updated 2 years ago