The journey of learning Python programming and implementing Artificial Intelligence started with this series of tutorials and case studies. This is now the final project of the series and we will be covering all the key topics we learnt so far. Starting from Data Preprocessing, to turning text into features, performing NLP on real news articles, and then building a Machine Learning model to predict classes of output. The primary aim of this series has been to practice Python programming, learn concepts within Python that help in performing AI tasks like Machine Learning, Speech Processing, NLP, Cognitive Science, etc. From starting with statistical concepts to building ML models, we have covered all these bases in the last twelve chapters. In this chapter, we will implement a final project using all the concepts we have learnt throughout this series.  

Machine Learning Natural Language Processing Python and AI Sentiment Analysis