Alternatives and similar repositories for credit-risk-classification

Users that are interested in credit-risk-classification are comparing it to the libraries listed below

• RamiKrispin / ai-dev-2024-ml-workshop
  Materials for the AI Dev 2024 conference workshop "Deploy and Monitor ML Pipelines with Python, Open Source, and Free Applications"
  ☆94Updated this week
• RamiKrispin / Introduction-to-Docker
  (WIP) Getting started with Docker - An introduction to Docker with data science and engineering applications
  ☆129Updated 2 years ago
• RamiKrispin / awesome-ds-setting
  A tutorial for setting a new machine with core data science tools
  ☆294Updated last year
• khuyentran1401 / reproducible-data-science
  Tutorials on creating a reproducible and maintainable data science project
  ☆150Updated 3 years ago
• RamiKrispin / lang2sql
  A tutorial for setting an SQL code generator with the OpenAI API
  ☆246Updated last year
• cromano8 / Snowflake_ML_Intro
  Introduction to performing Machine Learning on Snowflake
  ☆127Updated last year
• hyunjoonbok / Python-Projects
  Portfolio in Python
  ☆48Updated 2 years ago
• pyladiesams / bootcamp-bringing-ML-models-into-production-intermediary-jun-aug2021
  6 week-long Python hands-on MLOps Bootcamp following a real-life industry scenario.
  ☆32Updated 8 months ago
• AutoViML / pandas_dq
  Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.
  ☆135Updated 2 years ago
• noahgift / databricks-zero-to-mlops
  ☆28Updated 3 years ago
• Paulescu / real-time-ohlc-with-bytewax
  Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit
  ☆128Updated last year
• catherinenelson1 / SEforDS
  Code for the book "Software Engineering for Data Scientists"
  ☆119Updated 3 months ago
• RamiKrispin / atsaf
  Applied Time Series Analysis and Forecasting
  ☆169Updated 2 years ago
• PacktPublishing / Polars-Cookbook
  Polars Cookbook, Published by Packt
  ☆356Updated last month
• BexTuychiev / tricking-data-science
  A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
  ☆169Updated last year
• mattharrison / effective_xgboost_book
  ☆295Updated 2 years ago
• DataTalksClub / data-paths
  Learning paths for data roles
  ☆147Updated 3 months ago
• tylerjrichards / Streamlit-for-Data-Science
  A repo for the book 'Streamlit for Data Science' by Tyler Richards
  ☆242Updated 2 years ago
• Paulescu / bytewax-hopsworks-example
  Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)
  ☆146Updated 2 years ago
• baniasbaabe / learning-data-science
  Curated collection of awesome resources and tutorials for mastering Data Science, Machine Learning, Deep Learning, and Python.
  ☆51Updated last year
• station-10 / awesome-marketing-machine-learning
  A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…
  ☆125Updated last year
• DataTalksClub / awesome-data-podcasts
  A list of awesome data podcasts
  ☆384Updated 2 years ago
• PacktPublishing / Cleaning-Data-for-Effective-Data-Science
  Cleaning Data for Effective Data Science, published by Packt
  ☆101Updated last month
• valendin / rfm2lstm
  Customer Base Analysis with Recurrent Neural Networks
  ☆19Updated 3 years ago
• mattharrison / datasets
  Datasets for ML, Analysis, etc
  ☆62Updated 9 months ago
• 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
  ☆81Updated this week
• feature-engine / feature-engine-examples
  ☆36Updated 11 months ago
• Paulescu / build-and-deploy-real-time-feature-pipeline
  Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
  ☆135Updated 2 years ago
• RamiKrispin / vscode-python-uv-template
  A Python Environment Template for VScode with UV
  ☆79Updated 3 months ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆64Updated 3 years ago