Alternatives and similar repositories for dspracticum2020

Users that are interested in dspracticum2020 are comparing it to the libraries listed below

• SocialComplexityLab / socialgraphs2023
  ☆17Updated 2 years ago
• iterative / course-ds-base
  ☆46Updated last year
• FourthBrain / software-dev-for-mlops-101
  Set up your local environment to do some real Machine Learning Operations software development, just like pro MLOps practitioners.
  ☆241Updated 2 years ago
• blueprints-for-text-analytics-python / blueprints-text
  Jupyter notebooks for our O'Reilly book "Blueprints for Text Analysis Using Python"
  ☆267Updated last year
• dslp / dslp
  The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process …
  ☆522Updated 4 years ago
• RamiKrispin / awesome-ds-setting
  A tutorial for setting a new machine with core data science tools
  ☆295Updated 10 months ago
• zgana / fpp3-python-readalong
  Python-centered read-along of Forecasting: Principles and Practice
  ☆510Updated 2 months ago
• PacktPublishing / Interpretable-Machine-Learning-with-Python
  Interpretable Machine Learning with Python, published by Packt
  ☆475Updated 2 weeks ago
• mattharrison / effective_xgboost_book
  ☆292Updated 2 years ago
• facebookresearch / balance
  The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…
  ☆714Updated last week
• kennethleungty / Failed-ML
  Compilation of high-profile real-world examples of failed machine learning projects
  ☆744Updated last year
• wandb / edu
  Educational materials on deep learning by Weights & Biases
  ☆643Updated 10 months ago
• INRIA / scikit-learn-mooc
  Machine learning in Python with scikit-learn MOOC
  ☆1,315Updated last week
• catherinenelson1 / SEforDS
  Code for the book "Software Engineering for Data Scientists"
  ☆108Updated last month
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆347Updated 3 years ago
• chiphuyen / just-pandas-things
  An ongoing list of pandas quirks
  ☆981Updated 2 years ago
• jamenlong / ALS_expected_percent_rank_cv
  Alternate cross validation approach for ALS models with implicit ratings utilizing an expected percent ranking metric for model performan…
  ☆24Updated 7 years ago
• Varal7 / ml-tutorial
  Introduction to ML packages for the 6.86x course
  ☆403Updated 5 years ago
• mrdbourke / cs329s-ml-deployment-tutorial
  Code and files to go along with CS329s machine learning model deployment tutorial.
  ☆616Updated 3 years ago
• CodeCutTech / Efficient_Python_tricks_and_tools_for_data_scientists
  Efficient Python Tricks and Tools for Data Scientists
  ☆1,476Updated 7 months ago
• bepuca / azureml-scaffolding
  ☆35Updated 4 months ago
• Harvard-IACS / 2021-CS109B
  ☆47Updated 3 years ago
• Harvard-IACS / 2021-ComputeFest
  ☆46Updated 3 years ago
• veekaybee / what_are_embeddings
  A deep dive into embeddings starting from fundamentals
  ☆1,052Updated 2 months ago
• dspiegel29 / ArtofStatistics
  Code for 'The Art of Statistics'
  ☆522Updated 4 years ago
• the-full-stack / fsdl-text-recognizer-2022-labs
  Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-…
  ☆483Updated last year
• agermanidis / pigeon
  🐦 Quickly annotate data from the comfort of your Jupyter notebook
  ☆787Updated last year
• thomasjpfan / ml-workshop-intermediate-1-of-2
  ☆15Updated 3 years ago
• aai-institute / beyond-jupyter
  Software design principles for machine learning applications
  ☆375Updated 3 months ago
• thomasjpfan / ml-workshop-intro
  Introduction to scikit-learn: Machine Learning in Python
  ☆20Updated 3 years ago