EY-Data-Science-Program / 2021-Better-Working-World-Data-Challenge
This github repository has been created for participants in the Better Working World Data Challenge. It contains code and documentation used to set up and manage an analysis environment for completing the Challenge. Please use the Discussions tab for any questions, or to have friendly discussions with other participants in the challenge!
☆9Updated 3 years ago
Alternatives and similar repositories for 2021-Better-Working-World-Data-Challenge:
Users that are interested in 2021-Better-Working-World-Data-Challenge are comparing it to the libraries listed below
- A list of resources for our society members who have upcoming interviews!☆94Updated 2 months ago
- ☆60Updated 2 years ago
- Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.co…☆181Updated 2 years ago
- List of interesting articles on different topics of machine learning and deep learning☆164Updated last year
- NLP Multi-class classifcation of hotel reviews, with demo app. Please check README for more details.☆9Updated 8 months ago
- Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related☆56Updated 3 years ago
- ☆38Updated 3 years ago
- Tutorials on creating a reproducible and maintainable data science project☆143Updated 2 years ago
- Tutorial given at PyData LA 2018☆97Updated 8 months ago
- Cracking the Data Science Interview☆344Updated 5 years ago
- Probably the best curated list of data science books in Python☆408Updated 2 years ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆182Updated 9 months ago
- Kaggle Pipeline for tabular data competitions☆204Updated 9 months ago
- Deployment Heroku☆57Updated 11 months ago
- Applied Machine Learning Explainability Techniques, published by Packt☆244Updated last year
- Berlin Time Series Analysis Repository☆99Updated 2 years ago
- An end-to-end project on customer segmentation☆81Updated 2 years ago
- Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020☆122Updated 3 years ago
- ML Zoomcamp fall 2021 homework and stuff☆64Updated 3 years ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆206Updated 2 years ago
- Example machine learning pipeline with MLflow and Hydra☆88Updated 2 years ago
- Blogs on Machine Learning and Deep learning☆111Updated 3 years ago
- Python-centered read-along of Forecasting: Principles and Practice☆504Updated 7 months ago
- Forecast the US demand for electricity☆99Updated 3 years ago
- Plots from the book "Storytelling with data" implementation using Python and matplotlib☆350Updated last year
- Deploying flexdashboard on Github Pages with Docker and Github Actions☆216Updated last year
- Code repository for the online course Feature Engineering for Machine Learning☆391Updated last year
- Predict if a reservation will be canceled using robust Machine Learning pipelines with Airflow and Mlflow☆62Updated last year
- Resources (including recap slides and notebooks) to support the Queensland AI & Queensland AI Hub community fast.ai course.☆33Updated 3 years ago
- Learn by doing: DIY project groups at DataTalks.Club☆402Updated 11 months ago