Identifying the health of fetal using Cardiotocography data

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Reference no: EM133115920

CE880 An Approachable Introduction to Data Science - University of Essex

Identifying the health of fetal using Cardiotocography (CTG) data

Aim

Your job is to create a multiclass model to classify CTG features into the three fetal health states (i.e. Normal, Suspect, and Pathological).

• Try different classification algorithms such as SVM, Random Forest, KNN, and more.
• Split for data into training, validation, and test set to evaluate your model.
• Feel free to take your project in any direction. However, make sure you can justify that the approach is leading to better age prediction.
• Exploratory data analysis is quite important and please use pandas.
• Discuss with CE880 academic staff (Dr Haider Raza).

Attachment:- Case Study Project.rar

Reference no: EM133115920

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