  Fake News Detection has been a challenging problem in the field of Machine
Learning. Researchers have approached it via several techniques using old
Statistical Classification models and modern Deep Learning. Today, with the
growing amount of data, developments in the field of NLP and ML, and an
increase in the computation power at disposal, there are infinite permutations
and combinations to approach this problem from a different perspective. In this
paper, we try different methods to tackle Fake News, and try to build, and
propose the possibilities of a Hybrid Ensemble combining the classical Machine
Learning techniques with the modern Deep Learning Approaches
