1SJ17IS015(internship) .pptx

internship

1. || Jai Sri Gurudev || Sri Adichunchanagiri Shikshana Trust S J C INSTITUTE OF TECHNOLOGY Department of Information Science and Engineering An Internship Presentation On “ Analysis of Commercial bank failures in the United States since the great depression, 1934-Present using AI and ML ” PRESENTED BY Divya D M 1SJ17IS015 UNDER THE GUIDANCE OF Project Guide Internship Guide Internship Coordinator Head of Department Shwetha G R Aditya S K Vijay G R Satheesh Chandra Reddy Assistant Professor Director Associate Professor Prof. & HOD Dept of ISE Tequed labs Dept of ISE Dept of ISE SJCIT Bangalore SJCIT SJCIT

2. CONTENTS INTERNSHIP CERTIFICATE AIM OF THE INTERNSHIP COMPANY PROFILE ROLE PLAYED BY THE INTERN NATURE OF WORK UNDERTAKEN UNDER INTERNSHIP INTERNSHIP WORK DETAILS OUTCOME OF THE WORK CONCLUSION BIBLIOGRAPHY 2 Dept. of ISE , SJCIT

3. INTERNSHIP CERTIFICATE Dept. of ISE, SJCIT 3

4. AIM OBJECTIVE OF THE INTERNSHIP To gain industry experience from a reputed organization in the IT field. To gain the real work experience and opportunities to work like a professional. To understand the fundamentals of Artificial Intelligence and Machine Learning, python programming and to learn any new technology. 4 Dept. of ISE , SJCIT

5. COMPANY PROFILE Company name : Tequed Labs Founded in : 2018 Founder : Mr Aditya S K and Mr Supreeth Y S CEO : Supreeth Y S 5 Dept. of I SE , SJCIT Tequed labs is an Innovation and research hub based in Bangalore. It is focused on providing quality education to students regarding the various latest technologies developing all over the world everyday. It also focuses on creating innovative products to the society and also mentors various potential startups and ideas.

6. ROLE PLAYED BY THE INTERN Intern in Artificial Intelligence and Machine Learning. Learning the basics of “AI and ML” P rogramming in Python. Learning how to work on libraries like numpy , pandas, matplotlib . Role Description : B asics of Python Programming Language which is the tool for building AI applications. Concepts such as learning, classification and regressions will be used. 6 Dept. of ISE , SJCIT

7. 7 First four weeks : Training on basic concepts of AI & ML and python programming concepts. Last one week : We were allowed to build the real-time project based on the concepts which were taught earlier. NATURE OF WORK UNDERTAKEN UNDER INTERNSHIP Dept. of ISE , SJCIT

8. INTERNSHIP WORK DETAILS Basic Python : Features of Python, data types, identifiers, variables, operators, control structures, strings, functions , lists. Basics of AI and ML : Supervised learning, Unsupervised Learning and Reinforcement Learning. Python for AI : N um py , matplotlib and pandas. Machine Learning : Linear regression, k-means clustering, k-nearest neighbors . 8 Dept. of ISE , SJCIT

9. Project : Analysis of Commercia l bank failures in the United States since the great depression, 1934-Present The main objective of this machine learning project is to determine what type of banking institution is the most likely to fail, how have bank failure rates changed over time and what commercial bank failure have cost the federal government the most to resolve. The dataset contains the record of each failure of a commercial bank, savings association, and savings bank since the establishment of the FDIC in 1933. Each record includes the institution name and FIN number, institution and charter types, location of headquarters (city and state), effective date, insurance fund and certificate number, failure transaction type, total deposits and total assets last reported prior to failure (in thousands of dollars), and the estimated cost of resolution. All conclusions and predictions are made based on this dataset. 9 Dept. of ISE , SJCIT

10. The major steps to complete the dashboard are shown below. Step 1: I mport all the libraries required for creation of the data frame and visualization of the dataset. These are the pandas, numpy and matplotlib libraries . Create the data frame for the csv file and display the shape and the type of the data frame. A heatmap is plotted to show the correlation between the different columns and their values and determine which columns are directly related to each other . Null values are determined. 10 Dept. of ISE , SJCIT

11. , 11 Step 2 : Plot scatter plots for correlated columns. Dept. of ISE , SJCIT

12. Step 3 : Plot graphs for determining the number of bank failures based on attribute values . 12 Dept. of ISE , SJCIT

13. Step 4: Plot pie chart equivalents for the above bar graphs in order to represent percentage ratio of the number of banks under each attribute value type. Dept. of I SE, SJCIT 13

14. Step 5: Plot strip plots for different columns against the total assets, total deposits a nd estimated loss. Dept. of ISE, SJCIT 14 All these data visualizations are used to determine how the different columns in a dataset are related to each other and which attribute values most likely contributed to the failure of a bank.

15. OUTCOME OF THE WORK Basic understanding of AI & ML and python programming concepts. Building an ML application using real-time datasets. Learnt the specific rules and responsibilities in an organization . Improved the employability value . 15 Dept. of ISE , SJCIT

16. 16 Dept. of ISE , SJCIT This internship was very useful experience for me by gaining new knowledge and skills. It also helped me to define what skills and knowledge I have to improve. By the help of AI/ML code using python we can analyse any data set given and as per the topic chosen about Analysis of commercial bank failures. We all who take the internship class go to companies that already working either as a consultant or a contractor. The responsibilities of the hosting company are to teach student and shape them as a real-time workers. My hosting company helped me in acquiring different knowledge in different positions. At last internship has given me a new rights and motivation to pursue a carrier in industrial background. CONCLUSION

17. BIBLIOGRAPHY http ://matplotlib.org http://numpy.org http://seaborn.pydata.org http://www.kaggle.com http://pandas.pydata.org http://geeksforgeeks.org Dept. of ISE, SJCIT 17

18. Dept. of ISE , SJCIT 18 THANK YOU