EY-Data-Science-Program / 2021-Better-Working-World-Data-ChallengeLinks
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 4 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
Sorting:
- 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
- A hands-on case study for demonstrating the stages involved in a machine learning project, from EDA to production.☆37Updated last year
- Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related☆56Updated 3 years ago
- List of interesting articles on different topics of machine learning and deep learning☆164Updated 2 years ago
- Applied Machine Learning Explainability Techniques, published by Packt☆246Updated last year
- Interpretable Machine Learning with Python, published by Packt☆463Updated 2 years ago
- Labs and Project from the course "How to Win a Data Science Competition: Learn from Top Kagglers"☆145Updated 5 years ago
- Probably the best curated list of data science books in Python☆408Updated 2 years ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆208Updated 3 weeks ago
- Tutorial given at PyData LA 2018☆97Updated 9 months ago
- ☆48Updated 9 months ago
- Useful data science and Python code snippets at Data Science Simplified☆71Updated 3 years ago
- Real data science interview assignments☆93Updated 4 years ago
- ☆38Updated 3 years ago
- ☆24Updated 2 years ago
- ☆54Updated 4 years ago
- ☆203Updated 11 months ago
- Machine Learning begins with Human Learning☆108Updated 3 years ago
- Slides for "Feature engineering for time series forecasting" talk for DataTalks.Club given in August 2022.☆25Updated 2 years ago
- 100 exercises to learn Python Datatable☆268Updated 3 years ago
- Cracking the Data Science Interview☆352Updated 5 years ago
- This repository contains code to learn AI and ML on Google Cloud Platform☆101Updated 4 years ago
- Tutorials on creating a reproducible and maintainable data science project☆144Updated 2 years ago
- ☆281Updated last year
- Introduction to MLflow with a demo locally and how to set it on AWS☆42Updated 4 years ago
- A quick reference guide to the most commonly used patterns and functions in PySpark SQL☆55Updated 3 years ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆183Updated 10 months ago
- A short workshop on datascience pipelines using mlflow and airflow☆53Updated 2 years ago
- An end-to-end project on customer segmentation☆81Updated 2 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆147Updated last year