CNN Behavioral Detection Implementation
Budget: $90 – $100 USD
I need two Python scripts based on the CNN model from this paper: https://jemit.aspur.rs/archive/v3/n4/1.pdf.
Requirements:
- Script 1: Implement the CNN model as per the paper.
- Script 2: Extend the CNN model with Random Forest for anomaly detection.
Deadlines:
- Script 1 due: Tuesday
- Script 2 due: May 2nd
Additional requirements:
- Find free, relevant time-series datasets independently.
- Notify me if you can handle this.
Ideal Skills:
- Proficiency in Python
- Experience with CNNs and Random Forest
- Familiarity with anomaly detection and dataset acquisition
Please ensure the models are accurate and well-documented.
Requirements:
- Script 1: Implement the CNN model as per the paper.
- Script 2: Extend the CNN model with Random Forest for anomaly detection.
Deadlines:
- Script 1 due: Tuesday
- Script 2 due: May 2nd
Additional requirements:
- Find free, relevant time-series datasets independently.
- Notify me if you can handle this.
Ideal Skills:
- Proficiency in Python
- Experience with CNNs and Random Forest
- Familiarity with anomaly detection and dataset acquisition
Please ensure the models are accurate and well-documented.