1. Introduction
  1.1 Background
  1.2 Objectives
  1.3 Scope
2. Literature Review
  2.1 Network Performance Metrics and Challenges
  2.2 Machine Learning for Network Optimization
  2.3 Data Preprocessing for Network Traffic Analysis
  2.4 Model Evaluation for Network Performance
3. Network Data Collection and Preprocessing
  3.1 Data Sources and Collection Methods
  3.2 Feature Extraction and Selection
  3.3 Data Normalization and Transformation
4. Machine Learning Model Development
  4.1 Anomaly Detection Models
  4.2 Predictive Performance Optimization Models
  4.3 Model Training and Validation
5. Testing and Evaluation
  5.1 Performance Metrics
  5.2 Model Accuracy and Efficiency
  5.3 Real-world Network Performance Testing