To develop a machine learning model for detecting faults in a telecom network.
To analyze the performance of the telecom network using data analysis techniques and machine learning algorithms.
To identify patterns and trends in network data to improve overall network performance and reliability.
Collect and preprocess data from the telecom network for training the machine learning model.
Develop and train a machine learning algorithm for fault detection in the network.
Analyze network performance metrics using data analysis techniques such as clustering and classification.
Evaluate the performance of the machine learning model in detecting faults and improving network performance.
Present findings and recommendations for optimizing telecom network performance using machine learning-based fault detection.
