Machine Learning Python Project
Budget: $30 – $250 USD
I have a dataset in this format:
195.176.3.20,67,14,5,1,0
195.176.3.24,68,14,4,1,0
195.176.3.23,66,14,6,1,0
195.176.3.19,66,13,6,1,1
109.70.100.18,70,14,2,1,0
185.220.101.47,66,13,4,1,3
87.118.116.103,65,13,5,1,3
where 87.118.116.103 is ip, 65 is clean rate, 13 is unrated rate, 5 is malicious rate, 1 is suspicious rate and 3 is phishing rate i need a complex python algorithm that receive a new ip addrees like 192.168.1.3 and based on dataset train make a predict labels like 192.168.1.3 have 13 clean rate, ? malicious rate, ? phishing rate..etc
195.176.3.20,67,14,5,1,0
195.176.3.24,68,14,4,1,0
195.176.3.23,66,14,6,1,0
195.176.3.19,66,13,6,1,1
109.70.100.18,70,14,2,1,0
185.220.101.47,66,13,4,1,3
87.118.116.103,65,13,5,1,3
where 87.118.116.103 is ip, 65 is clean rate, 13 is unrated rate, 5 is malicious rate, 1 is suspicious rate and 3 is phishing rate i need a complex python algorithm that receive a new ip addrees like 192.168.1.3 and based on dataset train make a predict labels like 192.168.1.3 have 13 clean rate, ? malicious rate, ? phishing rate..etc