Building a Scorecard using Python
Financial Scorecards are used widely in all financial organizations for different kinds of ratings. This workshop will take you through the building and validation process of a financial scorecard using data.Financial Scorecards are used by banking organizations to judge the financial stability of their portfolio and take business decisions. These scorecards help in tracking and collections.
This workshop is designed for audience to take them through the process of developing a scorecard using Python. The workshop will guide you through the EDA process using Python and will demonstrate the different kind of visualizations that can enable better data understanding. We would cover basics of EDA and how python visualizations can support us in data mining. We aim to cover step by step process of building a scorecard and Use of different Machine Learning algorithms to build a better scorecard by comparing the outputs of different algorithms. We will demonstrate 3 different Machine learning algorithms Random Forest , Support Vector Machine and Gradient Boosting and their outcomes while building this scorecard.
Along the workshop we would introduce you to Python libraries that can be used to build these scorecards with more efficacy.
The key python libraries that we will be using will be Pandas , Numpy ,Scipy , Matplotlib and seaborn. We would demonstrate functions of these libraries used in building scorecards.
This will be a hands on session and attendees can come with their laptops for better understanding and follow up of session.
Outline/Structure of the Workshop
Introduction to application of Financial Scorecard
What business problem does it solve
Data Wrangling using Python
Building the scorecard using Machine Learning algorithms
Comparing Scorecards and selecting the best
Can build a scorecard from scratch using data science algorithms
Use of financial scorecards
Machine Learning Practitioners , Aspirational Data Scientists , Data Science Enthusiast, Python Programmers , Financial Experts , Banking Professionals
Prerequisites for Attendees
Basics of Scorecard
Basic Knowledge of Data Science