AutoViML / lazytransformLinks
Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
☆65Updated last year
Alternatives and similar repositories for lazytransform
Users that are interested in lazytransform are comparing it to the libraries listed below
Sorting:
- Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…☆121Updated last year
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆108Updated 3 years ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆92Updated 2 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 4 years ago
- OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments…☆27Updated 2 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated 2 years ago
- Various methods for generating synthetic data for data science and ML☆82Updated 4 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆107Updated 2 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated last year
- Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib☆19Updated 4 years ago
- Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking☆55Updated 4 years ago
- Demo on how to use Prefect with Docker☆27Updated 3 years ago
- Feature engineering package with sklearn like functionality☆56Updated last year
- ☆20Updated 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…☆180Updated 3 years ago
- Simple & Easy-to-use python modules to perform Quick Exploratory Data Analysis for any structured dataset!☆105Updated 3 years ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆76Updated 3 years ago
- 100 applications built with H2O Wave☆99Updated 3 years ago
- Validation for forecasts☆17Updated 2 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 4 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆96Updated 3 years ago
- Data Analysis Baseline Library☆133Updated last year
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆105Updated 2 years ago
- Automated Tool for Optimized Modelling☆163Updated last year
- A library for Time Series EDA (exploratory data analysis)☆72Updated last year
- Streamline scikit-learn model comparison.☆142Updated 3 years ago
- A Python libreary for removing collinearity☆29Updated 4 years ago
- Pre-processing database using pre-written functions☆20Updated 5 years ago
- Instant search for and access to many datasets in Pyspark.☆34Updated 3 years ago
- Learn how to create reliable ML systems by testing code, data and models.☆91Updated 3 years ago