mapattacker / datascience
How to be a Data Scientist
☆34Updated 3 years ago
Alternatives and similar repositories for datascience
Users that are interested in datascience are comparing it to the libraries listed below
Sorting:
- Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…☆62Updated 2 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- Companion Notebooks and Data for Data Science with Python and Dask from Manning Publications☆52Updated 4 years ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- Automated Data Science and Machine Learning library to optimize workflow.☆104Updated 2 years ago
- Library for Multi-objective optimization in Gradient Boosted Trees☆77Updated 8 months ago
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆107Updated 3 years ago
- Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related☆56Updated 3 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- Slides for "Feature engineering for time series forecasting" talk☆61Updated 2 years ago
- Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…☆121Updated last year
- Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign☆27Updated 2 years ago
- Clusteval provides methods for unsupervised cluster validation☆59Updated 3 weeks ago
- ☆38Updated 2 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 4 months ago
- Applied Machine Learning with Python☆79Updated last year
- mlmachine accelerates machine learning experimentation☆30Updated 3 years ago
- Best practices for engineering ML pipelines.☆35Updated 2 years ago
- Data Science analysis and visualization using Python.☆17Updated 7 years ago
- Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.☆77Updated last year
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆56Updated 2 years ago
- Instant search for and access to many datasets in Pyspark.☆34Updated 2 years ago
- Developmental tools to detect data drift☆16Updated last year
- Guide for applying Unit Testing in data-driven projects☆19Updated 5 years ago
- A library for Time-Series exploration, analysis & modelling.☆17Updated 4 years ago
- CentOS based Docker container for Time Series Analysis and Modeling.☆21Updated 5 years ago
- Validation for forecasts☆18Updated 2 years ago
- 📈🔍 Lets Python do AB testing analysis.☆76Updated last month
- Demo on how to use Prefect with Docker☆25Updated 2 years ago