ML-Based Webpage Classification System
Budget: $30 – $250 USD
I'm looking for a seasoned developer to develop a machine learning system for webpage classification using Python, HTML, and PHP. It's important for this individual to have a strong understanding of machine learning algorithms.
Key Elements:
- Proven expertise in Python, HTML, PHP, and machine learning implementations.
- Implement the system using five different machine learning algorithms including Decision tree, Support Vector Machines, Random Forest, Naive Bayes, and K-nearest neighbors.
- Must have a strong grasp of both supervised and unsupervised learning.
- Prior experience in webpage classification will be an added advantage.
- Create datasets
Your task will be to create a fluid system capable of effectively classifying various webpages. If you have the required skills and experience, I'd love to hear your approach on this.
We should integrated ML algorithms on AI web app. And we should compare it. We should write methodoly and results too.
Key Elements:
- Proven expertise in Python, HTML, PHP, and machine learning implementations.
- Implement the system using five different machine learning algorithms including Decision tree, Support Vector Machines, Random Forest, Naive Bayes, and K-nearest neighbors.
- Must have a strong grasp of both supervised and unsupervised learning.
- Prior experience in webpage classification will be an added advantage.
- Create datasets
Your task will be to create a fluid system capable of effectively classifying various webpages. If you have the required skills and experience, I'd love to hear your approach on this.
We should integrated ML algorithms on AI web app. And we should compare it. We should write methodoly and results too.