Credit Risk Modeling in Python
Ditulis pada: August 11, 2019
Credit Risk Modeling in Python, A complete data science case study: preprocessing, modeling, model validation and maintenance in Python
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Created by 365 Careers
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What you'll learn
- Improve your Python modeling skills
- Differentiate your data science portfolio with a hot topic
- Fill up your resume with in demand data science skills
- Build a complete credit risk model in Python
- Impress interviewers by showing practical knowledge
- How to preprocess real data in Python
- Learn credit risk modeling theory
- Apply state of the art data science techniques
- Solve a real-life data science task
- Be able to evaluate the effectiveness of your model
- Perform linear and logistic regressions in Python
- Requirements
- No prior experience is required. We will start from the very basics
- You’ll need to install Anaconda and Python. We will show you how to do that step by step