If you can measure it, consider it predicted
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Updated
Oct 18, 2024 - Jupyter Notebook
If you can measure it, consider it predicted
Sector based classification with feature engineering and tsfresh. Looking 3 months momentum of stocks.
Evaluating small enterprices' business performance based on transactions in the supply chain
Unsupervised learning for the detection of patterns in human activity sensor data
Detecting potential corruption events from public expenditure time-series data
Collection of modern tools and machine learning techniques for data analysis and application in some exercises.
My Thesis: Auto-ML Tool for IoT Applications Version 1.0
A collection of Machine Learning models that detect if a star system contains exoplanets.
Time Series Forecasting for the M5 Competition
Implementing segmentation and churn prediction with time series of transaction data.
tsfresh is a library that automatically extracts features.
This project focuses on the classification of a subjects sleep stage based on their Apple Watch data
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