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fastbook

The fastai book, published as Jupyter Notebooks

feasts

Feature Extraction And Statistics for Time Series

feature-engineering-for-machine-learning

Code repository for the online course Feature Engineering for Machine Learning

feature-selection-for-machine-learning

Code repository for the online course Feature Selection for Machine Learning

filternet

Deep learning architecture for computationally efficient activity recognition as described in the paper FilterNet: A many-to-many deep learning architecture for time series classification

fog_classification

This project is oriented on creating a deep learning model which would be able to determine the Freezing of Gait intervals from given sensor based data

forecasting

Time Series Forecasting Best Practices & Examples

fractalregression

fuzzyactivityclassification

Activity classification using fuzzy classifiers

gaitpy

ggpubfigs

colorblind friendly color palettes and ggplot2 graphic system extensions for publication-quality scientific figures

hctsa

Highly comparative time-series analysis

hctsatutorial_bonneeg

hctsa tutorial using the five-class Bonn EEG dataset

hdf5-is-for-lovers

HDF5 Tutorial

hsmm4acc

Behaviour detection in wearable movement sensor data

human-activity-classification

human-activity-recogntion

Human activity recognition, or HAR, is a challenging time series classification task. It involves predicting the movement of a person based on sensor data and traditionally involves deep domain expertise and methods from signal processing to correctly engineer features from the raw data in order to fit a machine learning model.

hyperparameter-optimization

Code repository for the online course Hyperparameter Optimization for Machine Learning

imu-fog-detection

ispgr-2022

kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

learnbioconductor

Training material for introductory R / Bioconductor courses

lifestylepatternmining

Lifestyle Pattern Mining (Predict sleep concerning daily diet and activities)

machine-learning-for-time-series-with-python

Machine Learning for Time-Series with Python.Published by Packt

machine-learning-imbalanced-data

Code repository for the online course Machine Learning with Imbalanced Data

mathematical-foundation-for-ai-and-machine-learning

Mathematical Foundation for AI and Machine Learning, published by Packt

mhealthtools

A modular R package for extracting features from mobile sensor data

mlalgorithms

Minimal and clean examples of machine learning algorithms implementations

mlforhealthlabpub

Machine Learning and Artificial Intelligence for Medicine.

mobile-gaitlab