First of all you can use the -T5 parameter on nmap UDP scan, which is the fastest rate possible. By default, nmap uses -T4. Still you won't get as quick results as you would with masscan. According to the creator's github: This is an Internet-scale port scanner. It can scan the entire Internet in under 6 minutes,…
Answered Oct 18, 2022 · 2.1K Views Read answer →
Word embeddings are basically a representation of text used to let a machine understand what a human being wants to convey and they are represented in n-dimensional space. Word embeddings algorithm converts plain text into numbers as most of the machine learning or deep learning algorithms find difficult to understand…
Answered Dec 23, 2019 · 1.1K Views Read answer →
model = gensim.models.doc2vec.Doc2Vec(size= 100, min_count = 5,window=4, iter = 50, workers=cores) model.build_vocab(res) model.train(res, total_examples=model.corpus_count, epochs=model.iter) # each of length 100 len(model.docvecs[1]) We can use the document vectors directly from the model to fit an unsupervised…
Answered Dec 23, 2019 · 2.0K Views Read answer →
Explain Naïve Bayes By Building A Spam Classifier In Python
Answered Dec 18, 2019 · 1.1K Views Read answer →
We will be analyzing increase of dimensional with 60 random points. 2D example
Answered Dec 17, 2019 · 1.3K Views Read answer →
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