Bike sharing prediction based on neural nets
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Updated
Jun 2, 2021 - Python
Bike sharing prediction based on neural nets
ractice neural network implemented just with numpy for Kaggle Bike Sharing Demand
Comprehensive exploration of the Bike Sharing Problem using advanced Machine Learning for demand forecasting and Mathematical Linear Optimization for strategic bike allocation. Includes detailed Jupyter notebooks covering model development, analysis, and optimization solutions.
Bratislava bikesharing (Slovnaft Bajk system) scraper app and public stats - Bratislava, Slovakia
Kaggle's 'Bike Sharing Demand' competition
iOS app for Neural Bikes
In this machine learning project we are required to estimate the total number of rented bikes given various climatic and other features.
Supervised ML (Regression) project on bike sharing demand prediction.
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