Umang080799 / 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.

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

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.

About

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.


Languages

Language:Jupyter Notebook 100.0%