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Trained and optimized a Classification Machine Learning model to predict the grammatical flow of email using state of the art techniques : 1. Word2Vec 2. tf-idf 3. bag-of-words. The models used include Logistic Regression and Support Vector Mechanics with 250-300 features.

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Predicting Email Grammatical Flow

Trained and optimized a Classification Machine Learning model to predict the grammatical flow of email using state of the art techniques :

1. Word2Vec

2. tf-idf

3. bag-of-words.

The models used include Logistic Regression and Support Vector Mechanics with 250-300 features.

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Trained and optimized a Classification Machine Learning model to predict the grammatical flow of email using state of the art techniques : 1. Word2Vec 2. tf-idf 3. bag-of-words. The models used include Logistic Regression and Support Vector Mechanics with 250-300 features.

machine-learning word2vec tfidf classification-model bagofwords

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