[https://github.com/your_username/your_project_name]
[Short project description here. Briefly summarize the problem you are trying to solve and the approach you're taking.]
[Image Classification / Chatbot / Regression / Clustering / Other]
- Best Model: [Name and type of the best-performing model"]
- Evaluation Metric: [Primary metric used, e.g., Accuracy, F1-Score, MSE, MAE]
- Final Performance: [Best score achieved, e.g., 95% accuracy, F1-score of 0.87, MSE of 0.12]
- Baseline Performance: [Baseline model performance for comparison]
- Improvement Over Baseline: [Quantitative improvement, e.g., "+12% accuracy", "25% reduction in MSE"]
- Best Alternative Model: [Second-best model and its performance]
- Most Important Features: [Top 3-5 features that drive model performance]
- Model Strengths: [What the model does well]
- Model Limitations: [Known limitations and failure cases]
- Business Impact: [Practical implications of the model performance]
- Literature Review
- Dataset Characteristics
- Baseline Model
- Model Definition and Evaluation
- Presentation
