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1. Autonomous-Pac-man-Classification Autonomous-Pac-man-Classification Public

   Design an autonomous agent with Supervised Learning. Use python and weka, and finally decide J48 as our final model

   Python

2. Autonomous_Pac-man_Q-learning Autonomous_Pac-man_Q-learning Public

   Build an autonomous agent using Q-learning (Reinforcement Learning). The main files is bustersAgents.py, which contains all the important function, as well as the custom reward function. It also co…

   Python

3. UnsupervisedL_world_hapiness UnsupervisedL_world_hapiness Public

   (R) Apply preprocessing such as feature extraction, missing values, duplicates and outliers, feature selection. Make visualizations, PCA,FA. Finally, apply different methods of clustering(K-Means, …

   HTML

4. SupervisedL_Fraud_detection SupervisedL_Fraud_detection Public

   Apply preprocessing such as feature engineering, dealing with imbalanced classes. Make visualizations. Classification using logistic regression with ROC, model selection and ML tools. Regression, r…

   HTML

5. Optimization_energy_production Optimization_energy_production Public

   (Python, Pyomo) development and evaluation of a comprehensive energy production model using continuous and discrete variables. Optimization problem with a focus on minimizing costs and adhering to …

   HTML

6. Optimization_vehicle_routing_wood_production Optimization_vehicle_routing_wood_production Public

   (Python,pyomo) P1 Multiple vehicle routing (Network): strategically plan routes for a fleet of vehicles to efficiently serve customers, minimizing transportation cost P2 Wood production (non-linear…