Data Science Research Paper
Budget: £250 – £750 GBP
This is a Data Science project which involves Decision making and Machine Learning. The project focuses on the analytical usage of "Detect Malware Types" dataset from the UCI Machine Learning Repository to bring about better approach to for malware detection.
The goal of this analysis is to compare the performance of these techniques on the "Detect Malware Types" dataset and identify the most effective approach for malware detection. For this analysis, you need to apply and compare several machine learning techniques, including logistic regression, decision trees, and support vector machines (SVMs).
Link For UCI Data Set: https://archive-beta.ics.uci.edu/dataset/533/detect+malware+types
The analysis should be implemented using the R programming language and minimum words for this research project is 5,000 words.
Check attachment for abstract and further guidelines.
The goal of this analysis is to compare the performance of these techniques on the "Detect Malware Types" dataset and identify the most effective approach for malware detection. For this analysis, you need to apply and compare several machine learning techniques, including logistic regression, decision trees, and support vector machines (SVMs).
Link For UCI Data Set: https://archive-beta.ics.uci.edu/dataset/533/detect+malware+types
The analysis should be implemented using the R programming language and minimum words for this research project is 5,000 words.
Check attachment for abstract and further guidelines.
Related categories:
Machine Learning (ML)
Data Mining
R Programming Language
Statistical Analysis
Data Science