jcdaniel91 / data-science-python-daskLinks
Companion Notebooks and Data for Data Science with Python and Dask from Manning Publications
☆52Updated 4 years ago
Alternatives and similar repositories for data-science-python-dask
Users that are interested in data-science-python-dask are comparing it to the libraries listed below
Sorting:
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated last year
- Automated Exploratory Data Analysis. Simplifying Data Exploration☆36Updated 5 years ago
- Predict the poverty of households in Costa Rica using automated feature engineering.☆23Updated 4 years ago
- Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking☆55Updated 3 years ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆65Updated 4 months ago
- Tutorial covering a new workflow available going from pandas to scikit-learn☆40Updated 2 years ago
- Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…☆62Updated 2 years ago
- Explorations of survival analysis in Python☆50Updated 2 years ago
- ☆22Updated 2 years ago
- Applied Machine Learning with Python☆80Updated last year
- Feature engineering package with sklearn like functionality☆54Updated 9 months ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- Tips for Advanced Feature Engineering☆52Updated 4 years ago
- H2OAI Driverless AI Code Samples and Tutorials☆37Updated 8 months ago
- Work for Mastering Large Datasets with Python☆19Updated 2 years ago
- ☆26Updated 5 years ago
- Guide for applying Unit Testing in data-driven projects☆19Updated 5 years ago
- Best practices for engineering ML pipelines.☆35Updated 3 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using th…☆115Updated 2 years ago
- Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign☆27Updated 2 years ago
- Demo on how to use Prefect with Docker☆25Updated 2 years ago
- Pre-processing database using pre-written functions☆20Updated 4 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 2 years ago
- Automated Data Science and Machine Learning library to optimize workflow.☆104Updated 2 years ago
- How to use SHAP values for better cluster analysis☆57Updated 3 years ago
- OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments…☆27Updated last year
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 5 months ago
- Function for automatically detecting Simpson's Paradox☆18Updated 4 years ago
- ☆32Updated last year