Amazon Mobile Recommendation System

Repository containing the academic project for the course Statistics and Machine Learning. Presented in the form of iPython Notebooks.

Amazon.com is a treasure trove of product reviews and their review system is accessible across all channels presenting reviews in an easy-to-use format. The product reviewer submits a rating on a scale of 1 to 5 and provides own viewpoint according to the whole experience.

Contents

• Data Analysis and Visualisation

  • Python
  • [Amazon Mobile Recommendation System] (https://github.com/Kavitabhat92/Amazon-Mobile-Recommendation-System/blob/master/Recommender%20System%20for%20Amazon%20Dataset.ipynb): Exploratory Data Analysis and Machine Learning algorithm of Natural Language Processing (NLTK) to recommend the best of the mobile phones with respect to reviews, ratings and brands in the dataset.

Tools: Pandas,Seaborn,Scikit, Natural Language Processing(SentimentIntensityAnalyser) and Matplotlib

Installation Requirements:

• NLTK toolkit download

  • https://www.nltk.org/data.html