• Structured a system that will assist customers on when is the right time to buy airline tickets
• Studied the dependency of air prices on various attributes like time of departure, number of stops, and duration of flight. Constructed the application by implementing C4.5 algorithm for construction of decision trees
• Collaborated work with three other peers, facilitating team work, thereby conceptualizing the system
• Employed RANDOM FORESTS classifier method in PYTHON to accomplish the task
• Managed completion of different stages of project in rapport with allocated deadlines
• Effectively addressed diverse set of issues that came into picture during the whole process
• Contributed in planning, coordinating, coding, developing and testing the system
Instigating Random Forests for Prefiguring Air Fares under Constrained Environment
