PGPBABI.G.Jul17 Group 10 v2.pdf - “Air Investigation Type Classifier” Submitted in Partial Fulfillment of requirements for the Award of certificate

PGPBABI.G.Jul17 Group 10 v2.pdf - “Air Investigation Type...

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pg. 1 Air Investigation Type Classifier Submitted in Partial Fulfillment of requirements for the Award of certificate of Post Graduate Program in Business Analytics & Business Intelligence by GLIM Capstone Project Report Submitted by Arpit Saraswat Abhay Sharma Jai Jangid Padmaja Kumari Satinder Singh Sethi Batch- PGPBABI.G.Jul17 Group 10 Under the guidance of (Mr. Pradeepta Mishra) Great Lakes Institute of Management
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pg. 2 ACKNOWLEDGEMENT It is a genuine pleasure to express our deep sense of thanks and gratitude to our Mentor Mr. Pradeepta Mishra, Bangalore. His dedication and keen interest above all his overwhelming attitude to help us has been helpful in completing our capstone project. He gave us valuable inputs and feedback at every stage to enhance the project from the initial stage to the final stage which had been a great knowledge and moral boost for us. We would also like to place on record our appreciation for the guidance provided by Dr. Srabashi Basu for giving us valuable feedback and being a source of inspiration in helping us to work on this project. We certify that the work done by us for conceptualizing and completing this project is original and authentic. Date: 15 th June 2018 Arpit Saraswat Place: Gurugram Abhay Sharma Jai Jangid Padmaja Kumari Satinder Singh Sethi
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pg. 3 CERTIFICATE This is to certify that the participants Arpit Saraswat, Abhay Sharma, Jai Jangid, Padmaja Kumari, Satinder Singh Sethi who are the students of Great Lakes Institute of Management, has successfully completed their project on “Air Investigation Type Classifier”. This project is the record of authentic work carried out by them during the academic year 2017- 2018. Mentor’s Name & Sign Program Director Pradeepta Mishra Dr. Bappaditya Mukhopadhyay Date: 15 th June 2018 Place: Gurugram
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pg. 4 Table of Contents a. Acknowledgements .................................................................................................... 2 b. Certificate of completion .......................................................................................... 3 c. Table of Contents ...................................................................................................... 4 d. List of Tables and Figures ........................................................................................ 5 e. Abbreviations ............................................................................................................. 6 f. Executive Summary .................................................................................................. 7 g. Chapter 1: Introduction ........................................................................................... 8 1. Problem Statement .......................................................................................................................................... 9 2. Objective and Scope of the Project ................................................................................................................ 9 3. Data Sources ................................................................................................................................................ 10 4. Tools and Techniques .................................................................................................................................. 10 5. Limitations ................................................................................................................................................... 10 h. Chapter 2: Literature Review ................................................................................ 11 i. Chapter 3: Data Description and Preparation .................................................... 14 1. Data Management ........................................................................................................................................ 14 2. Data Tables .................................................................................................................................................. 14 3. List of Variables ........................................................................................................................................... 15 j. Chapter 5: Data Exploration and Insights .......................................................... 19 k. Chapter 6: Analytic Approach .............................................................................. 33 1. Gradient Boosting Model ............................................................................................................................. 37 2. Random Forest .............................................................................................................................................. 38 3. The Classification and Regression Tree (CART) ........................................................................................ 38 4. Support Vector Machines (SVM) ................................................................................................................ 39 5. Logistic Regression ...................................................................................................................................... 40 l. Chapter 7: Recommendation and Conclusions ................................................... 41 m. References ................................................................................................................ 45 n. Final Changes after Presentation .......................................................................... 46 o. Appendices ............................................................................................................... 47
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pg. 5 List of Tables and Figures Tables Table No. Description 1 NTSB Database Tables 2 Variables 3 Columns Dropped Figures Figure No. Description 1 US vs Rest of World Events 2 NTSB Database Tables Relationship 3 NTSB Database Tables Relationship 4 Sky Condition Vs Ev_Type 5 Weather Condition vs Ev_Type 6 Light Condition Vs Ev_Type 7 Seasonality Vs Ev_Type 8 Aircraft Category Vs Ev_Type 9 Ev_type Vs Yearly 10 Injuries Vs Ev_type 11
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