Alternatives and similar repositories for Machine-Learning-Tutorials:

Users that are interested in Machine-Learning-Tutorials are comparing it to the libraries listed below

• mattharrison / Idiomatic-Pandas-Tutorial
  Pandas Training © MetaSnake 2022, CC BY-NC
  ☆18Updated 3 years ago
• mattharrison / datasets
  Datasets for ML, Analysis, etc
  ☆57Updated 5 months ago
• analyticsbook / book
  ☆21Updated 2 years ago
• BexTuychiev / medium_stories
  A repository containing data and files for my stories on Medium.com.
  ☆56Updated 2 months ago
• machow / tidytuesday-py
  ☆34Updated 4 years ago
• AllenDowney / BayesianDecisionAnalysis
  Repository for a workshop on Bayesian Decision Analysis
  ☆69Updated 2 years ago
• AlexIoannides / notes-and-demos
  Study notes and demos.
  ☆12Updated last year
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆59Updated 2 years ago
• Vancouver-Datajam / dashboard-workshop-dash
  Workshop material for the Vancouver DataJam
  ☆21Updated 3 years ago
• tdpetrou / Advent-of-Code-Pandas
  ☆22Updated 2 years ago
• feature-engine / feature-engine-examples
  ☆34Updated 2 months ago
• nickeubank / practicaldatascience_class
  Website for Practical Data Science Course Page
  ☆14Updated 11 months ago
• RamiKrispin / useR2024-pipeline-workshop
  Materials for the useR!2024 conference workshop "Deploy and Monitor ML Pipelines with R, Open Source, and Free Applications"
  ☆56Updated this week
• sktime / sktime-tutorial-pydata-global-2022
  sktime - python toolbox for time series: pipelines and transformers
  ☆24Updated 2 years ago
• maladeep / data-quality-checker
  Check the basic quality of any dataset
  ☆11Updated 3 years ago
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆26Updated 2 years ago
• DataForScience / Graphs4Sci
  ☆46Updated last year
• PacktPublishing / Data-Analysis-with-Polars
  Data Analysis with Polars, Published by Packt
  ☆32Updated 6 months ago
• KishManani / m5-forecasting-tutorial
  An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.
  ☆17Updated 2 years ago
• atreadw1492 / software_engineering_for_data_scientists
  ☆11Updated last year
• RamiKrispin / pydata-ny-ga-workshop
  Materials for the Deploy and Monitor ML Pipelines with Python, Docker and GitHub Actions workshop at the PyData NYC 2024 conference
  ☆80Updated this week
• mattharrison / effective_polars_book
  Code and materials for Effective Polars book
  ☆78Updated last year
• probabl-ai / youtube-appendix
  Resources for some of our education content
  ☆41Updated 2 months ago
• RamiKrispin / 30DayMapChallenge
  30 Day Map Challenge 2022
  ☆28Updated 2 years ago
• dennisbakhuis / Tutorials
  Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related
  ☆56Updated 3 years ago
• derevirn / pycaret-book
  Repository for the book Simplifying Machine Learning with PyCaret.
  ☆65Updated 2 years ago
• Idilismiguzel / Time-Series
  ☆12Updated 4 years ago
• LSTP-stat / StatResourcesHub
  StatsResourcesHub: Your go-to repository for all things statistics and programming. Find tutorials, code samples, and tips in Python, R,…
  ☆52Updated 6 months ago
• lucharo / raceplotly
  High level package to make a chart bar plot using plotly.
  ☆28Updated 2 years ago
• mattharrison / 2023-Pycon-Polars
  Intro to Polars Tutorial
  ☆23Updated last year