Elevator Simulated using Raspberry Pi 3 with the capability to detect faces and recognize the users to reduce their waiting time.
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Updated
Mar 3, 2017 - Python
Elevator Simulated using Raspberry Pi 3 with the capability to detect faces and recognize the users to reduce their waiting time.
Integration of the Lift project with the Collective Knowledge (CK) framework
This code analyzes a marketing campaign using Naive Bayes, Neural Network and Logistic
Lift/elevator algorithm optimisation and testing in Python. For university.
An open source python tool assisting with certification of sailplane wings
Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.
A desktop application to simulate lift control with a custom algorithm optimised to reduce distance travelled by the lift by 82.5%. Developed with Qt.
Python Software using Tkinter Library, which provides the availability of the most efficient choice of lift for the Person, by taking a finite numbers of inputs.
Analyze Data with Python | Hypothesis Testing with Scipy | Sample Size Determination
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