Alternatives and similar repositories for data-science-links:

Users that are interested in data-science-links are comparing it to the libraries listed below

• thepycoach / data-visualization
  Data visualization in Python with Matplotlib & Seaborn
  ☆43Updated 2 years ago
• mattharrison / sample_nb_code_project
  An example of a project for doing data work in Python using notebooks but also placing code in Python files and testing them
  ☆98Updated last year
• dair-ai / notebooks
  🔬 Sharing your data science notebooks with the community has never been this easy.
  ☆38Updated 2 years ago
• dair-ai / data_science_writing_primer
  Writing Primer for Data Scientists
  ☆18Updated 5 years ago
• gianlucamalato / collinearity
  A Python libreary for removing collinearity
  ☆29Updated 3 years ago
• rojaAchary / Data-Visualization-with-Python
  Data visualization is the visual presentation of data or information. The goal of data visualization is to communicate data or informatio…
  ☆52Updated 3 years ago
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆103Updated last year
• tirthajyoti / ML-apps-with-Streamlit
  Building simple ML apps with Streamlit
  ☆24Updated 3 years ago
• benthecoder / ml-blogs-that-are-worth-reading
  Blogs on Machine Learning and Deep learning
  ☆110Updated 3 years ago
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆81Updated 2 years ago
• khuyentran1401 / Python-data-science-code-snippet
  Useful data science and Python code snippets at Data Science Simplified
  ☆68Updated 3 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• marcopeix / TimeSeriesForecastingUsingFoundationModels
  Official repository for the book Time Series Forecasting with Foundation Models
  ☆16Updated last month
• Paulescu / real-time-technical-indicators
  Learn to build a modular real-time feature pipeline, so you avoid Offline-Online Feature Skew, and your deployed ML models work as expect…
  ☆41Updated last year
• PacktPublishing / Production-Ready-Applied-Deep-Learning
  Production-Ready Applied Deep Learning
  ☆88Updated last year
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆52Updated 3 years ago
• derevirn / pycaret-book
  Repository for the book Simplifying Machine Learning with PyCaret.
  ☆65Updated last year
• ashishpatel26 / Computer-Vision-Papers-of-the-week
  Computer Vision Papers of the week
  ☆17Updated 2 years ago
• khuyentran1401 / Machine-learning-pipeline
  Example machine learning pipeline with MLflow and Hydra
  ☆88Updated last year
• dennisbakhuis / Tutorials
  Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related
  ☆56Updated 3 years ago
• numfocus / YouTubeVideoTimestamps
  Adding timestamps to NumFOCUS and PyData YouTube videos!
  ☆87Updated 2 years ago
• BexTuychiev / medium_stories
  A repository containing data and files for my stories on Medium.com.
  ☆56Updated last month
• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆64Updated 2 months ago
• PacktPublishing / Hands-On-Machine-Learning-with-scikit-learn-and-Scientific-Python-Toolkits
  The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to imp…
  ☆130Updated 3 months ago
• khuyentran1401 / cicd-mlops-demo
  Demo for CI/CD in a machine learning project
  ☆104Updated last year
• abzemkoho / forecasting
  ☆28Updated 3 years ago
• parulnith / What-I-learnt-by-interviewing-numerous-Kaggle-Grandmasters
  ☆38Updated 3 years ago
• vanessaaleung / ds-case-studies
  Data Science Case Studies
  ☆14Updated 4 years ago
• parulnith / Data-Science-Articles
  A collection of my blogs on Data Science and Machine learning.
  ☆86Updated 3 months ago
• MMBazel / Predicting-Kickstarter-Campaign-Outcomes-Using-NLP-Feature-Engineering
  Turning raw kickstarter text data => Campaign predictions using SpaCy, Scikit-learn, SQLAlchemy, SQLite3 & XGBoost Classifier (feat eng =…
  ☆16Updated 4 years ago