Yelp-customer-review. Used NLTK library from text pre-processing ->Data Visualisation with Matplotlib and Seaborn -> used sklearn CountVectorizer and Tfidf transformer for feature extraction from text -> then used Multinomial Naive Bayes algorithm to train the ML model

Problem

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Audience

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Market

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Pricing

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.