d6t / d6tflow-templateLinks
Project template for highly effective data science workflows
☆29Updated 2 weeks ago
Alternatives and similar repositories for d6tflow-template
Users that are interested in d6tflow-template are comparing it to the libraries listed below
Sorting:
- Slides and materials for most of my talks by year☆92Updated 2 years ago
- Companion Notebooks and Data for Data Science with Python and Dask from Manning Publications☆53Updated 5 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆26Updated 6 years ago
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 6 years ago
- ☆19Updated 4 years ago
- Workshop on Target Leakage in Machine Learning I taught at ODSC Europe 2018 (London) and ODSC East 2019, 2020 (Boston)☆37Updated 5 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated 2 years ago
- ☆39Updated 8 years ago
- Strategies to deploy deep learning models☆27Updated 7 years ago
- ☆15Updated 7 years ago
- H2OAI Driverless AI Code Samples and Tutorials☆37Updated last year
- Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…☆64Updated 2 years ago
- Best practices for engineering ML pipelines.☆36Updated 3 years ago
- Using Kafka-Python to illustrate a ML production pipeline☆112Updated 2 years ago
- Pyspark in Google Colab: A simple machine learning (Linear Regression) model☆38Updated 6 years ago
- Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…☆30Updated 3 years ago
- Work for Mastering Large Datasets with Python☆20Updated 2 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- ☆15Updated 3 years ago
- Code examples for my Interpretable Machine Learning Blog Series☆57Updated 5 years ago
- Ordinal Regression tutorial for the International Summer School on Deep Learning 2019☆70Updated 6 years ago
- Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.☆37Updated 5 years ago
- Interactive dashboard that show a decision support system to help DYCD/DOE’s award RFPs for the 2015 SONYC expansion.☆38Updated 3 years ago
- A flexible neural network framework for running experiments and trying ideas.☆82Updated 5 years ago
- Notes for Data Science 350 Class☆24Updated 8 years ago
- General Interpretability Package☆58Updated 2 years ago
- Tutorial covering a new workflow available going from pandas to scikit-learn☆39Updated 3 years ago
- ☆103Updated 2 years ago
- Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator☆30Updated 7 years ago
- Watson OpenScale tutorials including sample models, notebooks and applications☆22Updated 2 years ago