Sentiment Analysis and Recommender Systems with Python Bootcamp

Welcome to the Sentiment Analysis and Recommender Systems with Python Bootcamp. This program will give students the foundational skills they need in order to process, clean, and format text data for analysis, build predictive machine learning models as well as build and evaluate recommender systems based on real data. Prerequisites: Attendees must be comfortable using Python to manipulate data and must know how to create advanced visualizations in Python. Additionally, students must have a foundation in classification techniques. Objectives: Program proficiently in Python Clean, process, and visualize text data Develop a framework for analyzing data to improve processes and accuracy Identify and define use cases for recommender systems Build and evaluate content-based recommender systems Build and evaluate item-based filtering algorithm