Projects.md

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Greenhouse Controls

• Recreates non-linear, MIMO (2 Inputs - 2 Outputs - 3 Disturbance Inputs) greenhouse simulation from a published article in MATLAB/SIMULINK
• Contains two approaches to control simulation:
  1. Classical Control - Linearize non-linear system and design optimal controller using classical control techniques. Analyzes system for additional insights.
  2. Machine Learning - Attempts to control system using Reinforcement Learning. Greenhouse simulation is the "environment", AI agent represents the controller.

Recommendation System

• Practice building a recommendation system using pyspark/databricks
• Currently contains only Collaborative Filter implementation

EDA/ML Practice

• Repository containing practice datascience/ML analyses