This repository contains a C++ implementation of the Banker's algorithm, which is used to avoid deadlock in a system. The program allows processes to request and release resources, and the banker will grant a request only if it leaves the system in a safe state. If a request would lead to an unsafe state, it will be denied. The program also include

SchedMaster lies in its hybrid approach - combining classical scheduling algorithms with optimization techniques like Greedy Algorithms, Dynamic Programming, and Backtracking. Additionally, it leverages simple ML models to predict process behavior, detect anomalies in resource usage, and recommend the most suitable scheduling strategies.

Analyzed Citi Bike data to uncover hidden issues and trends in ride duration, peak usage, and station demand, providing recommendations to optimize bike availability.

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