If you can measure it, consider it predicted

Time Series Forecasting for the M5 Competition

This project focuses on the classification of a subjects sleep stage based on their Apple Watch data

A collection of Machine Learning models that detect if a star system contains exoplanets.

My Thesis: Auto-ML Tool for IoT Applications Version 1.0

心跳信号分类预测

Personal research project seeking to evaluate the efficacy of advanced neural architectures for the purpose of estimating energy expenditure from physical activity.

Collection of modern tools and machine learning techniques for data analysis and application in some exercises.

Unsupervised learning for the detection of patterns in human activity sensor data

Sector based classification with feature engineering and tsfresh. Looking 3 months momentum of stocks.

Implementing segmentation and churn prediction with time series of transaction data.

tsfresh is a library that automatically extracts features.

Detecting potential corruption events from public expenditure time-series data