Machine learning model stress detection
Budget: $30 – $250 CAD
I am looking for a machine learning expert to develop a stress detection model using text data. The model should be able to accurately classify text inputs into either stressed or not stressed categories (binary classification).
Skills and experience needed for this project:
- Strong understanding of machine learning algorithms and techniques
- Experience in working with text data and natural language processing
- Proficiency in programming languages such as Python and libraries like TensorFlow or PyTorch
- Ability to select and implement appropriate machine learning algorithms for binary classification
- Knowledge of data preprocessing and feature engineering techniques for text data
The client does not have a specific algorithm in mind, so the ideal candidate should have the flexibility to choose and implement any algorithm that can achieve the desired classification task efficiently.
Skills and experience needed for this project:
- Strong understanding of machine learning algorithms and techniques
- Experience in working with text data and natural language processing
- Proficiency in programming languages such as Python and libraries like TensorFlow or PyTorch
- Ability to select and implement appropriate machine learning algorithms for binary classification
- Knowledge of data preprocessing and feature engineering techniques for text data
The client does not have a specific algorithm in mind, so the ideal candidate should have the flexibility to choose and implement any algorithm that can achieve the desired classification task efficiently.