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It contains application of naive bayes model on a big textual data set. The problems is an example of NLP based solution on 2 different kind of vetorization.

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case-study classification countvectorizer document-classification donorschoose kaggle-competition machine-learning multinomial-naive-bayes naive-bayes-classifier natural-language-processing nlp python3 sklearn text text-classification tfidf-vectorizer

donar-choose-document-classfication's Introduction

Hi there 👋

🔭 I’m currently working as a Machine Learning scientist
👯 I’m looking to collaborate on ML and DL with realworld usecase.
📫 How to reach me: [email protected]
🔨 Portfolio link: https://mustaffa-hussain.github.io/Portfolio/
💬 I maintain a Medium Publication @theCyPhy.[ https://medium.com/thecyphy ]We write about ML,DL and other tech changes in the world. Drop message to contribute
⚡ Stuck with something, go grab a byte.

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