ag-ds-bubble / tseuler
A library for Time-Series exploration, analysis & modelling.
☆17Updated 4 years ago
Alternatives and similar repositories for tseuler:
Users that are interested in tseuler are comparing it to the libraries listed below
- The simplest way to deploy a machine learning model☆23Updated 2 years ago
- Exploring some issues related to churn☆16Updated last year
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- Compute set of important operations for HCTSA code☆26Updated 4 years ago
- Talks about vaex☆36Updated 2 years ago
- Comparing Polars to Pandas and a small introduction☆43Updated 3 years ago
- Automated Transparent Genetic Feature Engineering☆22Updated last year
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆25Updated 5 years ago
- Strategies to deploy deep learning models☆27Updated 6 years ago
- Prune your sklearn models☆19Updated 4 months ago
- ☆23Updated 2 years ago
- A `select` accessor for easier subsetting of pandas DataFrames and Series☆34Updated last year
- Structural Time Series on US electricity demand data☆22Updated 4 years ago
- Detecting critical transitions in financial networks with topological data analysis.☆17Updated 6 years ago
- Interactive visualization of machine learning model evaluation metrics☆63Updated 5 years ago
- Elo ratings for time-series forecasting packages☆23Updated 3 years ago
- Website: Data Umbrella & PyMC open source sessions☆26Updated 9 months ago
- Helpers for scikit learn☆16Updated 2 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆27Updated 4 years ago
- Interactive cleaning for Pandas DataFrames☆15Updated 5 years ago
- Generalized additive models in Python with a Bayesian twist☆77Updated 9 months ago
- A Python Package for Probabilistic Prediction☆22Updated 3 years ago
- Train multi-task image, text, or ensemble (image + text) models☆45Updated last year
- SciKIt-learn Pipeline in PAndas☆42Updated last year
- Smart, automatic detection and stationarization of non-stationary time series data.☆29Updated 2 years ago
- [Intemarché] Sales forecasting challenge☆11Updated 3 years ago
- Symbolic computation using SymPy and various applications☆20Updated 6 years ago
- Python implementation of plot from Kay, Kola, Hullman, Munson "When (ish) is My Bus?" (2016)☆18Updated 5 years ago
- A forest that is fast☆41Updated 6 years ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆64Updated last month