Titanic survival prediction using Bayesian Networks
Budget: £250 – £750 GBP
Project Description: Titanic survival prediction using Bayesian Networks
Skills and Experience:
- Proficiency in Python programming language
- Familiarity with machine learning libraries such as Scikit-learn, TensorFlow, and PyTorch
- Strong understanding of Bayesian Networks and their application in predictive modeling
Project Requirements:
- Develop a predictive model using Bayesian Networks to determine the likelihood of survival for passengers on the Titanic
- Utilize the preferred programming language, Python, for implementation
- jupyter notebook must be used
- Aim for a desired accuracy level for the prediction model (to be determined by the client)
Skills and Experience:
- Proficiency in Python programming language
- Familiarity with machine learning libraries such as Scikit-learn, TensorFlow, and PyTorch
- Strong understanding of Bayesian Networks and their application in predictive modeling
Project Requirements:
- Develop a predictive model using Bayesian Networks to determine the likelihood of survival for passengers on the Titanic
- Utilize the preferred programming language, Python, for implementation
- jupyter notebook must be used
- Aim for a desired accuracy level for the prediction model (to be determined by the client)