#计算机科学#A unified framework for machine learning with time series
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#计算机科学#A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
#时序数据库#A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
#计算机科学#Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020
A multiverse of Prophet models for timeseries
Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
#计算机科学#Python tutorial on machine learning with time series for DSSGx 2020
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.
#计算机科学#🧱 Wrappers for 3rd party models to be used with fold (https://github.com/dream-faster/fold)
#计算机科学#Introduction to sktime: A Unified Framework for Machine Learning with Time Series
#计算机科学#Time series anomaly detection, time series classification & dynamic time warping, performed on a dataset of Canadian weather measurements.
#计算机科学#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 dat...
Learn about how we can use models to make predicitons in the future based on historical data.
Final Submission for Google Summer of Code, 2024 @sktime
#时序数据库#Time Series Classification experiments on open-source datasets using Automated Machine Learning (AutoML) frameworks
#计算机科学#Predicting price trends in crypto (BTC_USDT) using lstm, rnn, sklearn, sktime, tff, etc.
#计算机科学#An easy and effective application to get insights and predict the future.
#时序数据库#The second attempt at tne multinomial series. Not for commercial use.