A unified framework for machine learning with time series
๐ ๐ง๐ต๐ฒ ๐๐๐น๐น ๐ฆ๐๐ฎ๐ฐ๐ธ ๐ณ-๐ฆ๐๐ฒ๐ฝ๐ ๐ ๐๐ข๐ฝ๐ ๐๐ฟ๐ฎ๐บ๐ฒ๐๐ผ๐ฟ๐ธ | ๐๐ฒ๐ฎ๐ฟ๐ป ๐ ๐๐ & ๐ ๐๐ข๐ฝ๐ for free by designing, building and deploying an end-to-end ML batch system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + 2.5 ๐ฉ๐ฐ๐ถ๐ณ๐ด ๐ฐ๐ง ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ & ๐ท๐ช๐ฅ๐ฆ๐ฐ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020
A multiverse of Prophet models for timeseries
Time Series Analysis with Python Cookbook, Second Edition - Published by Packt
Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
An MCP (Model Context Protocol) layer that exposes sktimeโs native registry and semantics to an LLM
Python tutorial on machine learning with time series for DSSGx 2020
sktime workshops & tutorials
A collection of notebooks for my final year project. The notebooks are used to create a virtual personal trainer to check bicep curls, squats and overhead presses.
๐งฑ Wrappers for 3rd party models to be used with fold (https://github.com/dream-faster/fold)
Introduction to sktime: A Unified Framework for Machine Learning with Time Series
Time series anomaly detection, time series classification & dynamic time warping, performed on a dataset of Canadian weather measurements.
Learn about how we can use models to make predicitons in the future based on historical data.
Web Application for real-time Stock Market Price Prediction and Analysis. This web app demonstrates the integration of data engineering, machine learning, and user-centric design. Its robust architecture and reliable predictions offer significant utility for forecasting tasks and highlight practical implementation skills.
A time series is a series of data points indexed in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time. Thus it is a sequence of discrete-time data
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