This Python code helps you to predict words from a seed string using Markov chain.
Markov chains, named after Andrey Markov, are mathematical systems that hop from one "state" (a situation or set of values) to another. For example, if you made a Markov chain model of a baby's behavior, you might include "playing," "eating", "sleeping," and "crying" as states, which together with other behaviors could form a 'state space': a list of all possible states. In addition, on top of the state space, a Markov chain tells you the probabilitiy of hopping, or "transitioning," from one state to any other state---e.g., the chance that a baby currently playing will fall asleep in the next five minutes without crying first. To get a more visual understanding of visually understanding, I recommned checking out this amazing site
- Numpy
Please check out the jupyter notebook in this repo. The working and the outputs are clearly shown in the notebook.