Anomaly Detection: detecting intrusions in unlabeled data
$10-80 USD
Paid on delivery
Anomaly Detection: detecting intrusions in unlabeled data using clustering(single-linkage clustring) , Kth-nearest nieghbor(KNN), and support vector Machines (SVM).
it requiers unsupervised learning exprience.
Project ID: #7353824
About the project
3 freelancers are bidding on average $50 for this job
Hello Sir, I've 9 years of experience in machine learning supervised and unsupervised learning, I've done many task using K-means clustering and agglomerative clustering (single linkage, complete linkage or average More
