Challenge

Project

There are several concepts underlying simulation. These include system and model,
events, system state variables, entities and attributes, list processing, activities and delays,
and finally the definition of discrete-event simulation.
The process of making and testing hypotheses about models and then revising designs or
theories has its foundation in the experimental sciences. Similarly, computational
scientists use modeling to analyze complex, real-world problems in order to predict what
might happen with some course of action.

for good accuracy score:

  1. Add more data. Having more data is always a good idea. ...
  2. Treat missing and Outlier values. ...
  3. Feature Engineering. ...
  4. Feature Selection. ...
  5. Multiple algorithms. ...
  6. Algorithm Tuning. ...
  7. Ensemble methods.
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