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'False Pos'

As seen in: Towards Data Science, Analytics Vidhya
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Articles by 'False Pos'

Mitigating DDoS attacks with Classification Models

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By Nathaniel DiRenzo, 'False Pos', 'False Neg'
| Towards Data Science
Using Dask, XGBoost, and Stacked Ensembling to defend against a ubiquitous form of cyberattack GitHub Repo Presentation PDF Module #4 of Metis’ Data Science and Machine Learning bootcamp has officially wrapped up! This module focused on Classification, a subset of Supervised Learning. And for our final project, we were asked to identify a problem that could be solved using classification methods, and assess the viability of solving that problem with classification models we produced.
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Twitter Sentiment Analysis- An NLP UseCase

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By Import Nltk, 'False Pos', 'False Neg'
| Analytics Vidhya
This article was published as a part of the Data Science Blogathon Introduction Sentiment analysis refers to identifying as well as classifying the sentiments that are expressed in the text source. Tweets are often useful in generating a vast amount of sentiment data upon analysis. These data are useful in understanding the opinion of the people about a variety of topics. Therefore we need to develop an Automated Machine Learning Sentiment Analysis Model in order to compute the customer perception.
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