09.What is Data Pre-Processing with Pandas 🐼 in Python! before Building Credit Risk Model | part 1
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Master data pre-processing with Pandas 🐼 in Python and take the first step towards building powerful machine learning projects and credit risk models! In this video, you’ll get step-by-step guidance on cleaning and preparing your datasets, transforming columns, handling missing data, and converting variables into the right formats—all essential skills for real-world applications in data science, banking, and analytics. Whether you're a beginner exploring Python or a seasoned expert refining your techniques, this tutorial is packed with practical insights to help you elevate your skills.
With over 12 years of experience in data analytics, our presenter provides clear, actionable tips to simplify complex concepts, helping you confidently tackle pre-processing challenges. Learn how to optimize your datasets for models like PD, LGD, and EAD while exploring foundational techniques like using Pandas to visualize data, manage null values, and ensure data integrity. These are the core skills that can help you land jobs in top companies and grow your career in data science and machine learning.
If you're passionate about mastering Python for data science, this is the community of learners you've been looking for! Hit the like button, drop your questions in the comments, and subscribe to join a network dedicated to continuous learning and professional growth. Don’t miss upcoming videos in this data science roadmap series—your success starts here!
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CHAPTERS:
00:00 - Intro
01:22 - Data Reading Techniques
06:06 - Data Preprocessing Steps
12:57 - Value Replacement in Columns
19:35 - Continuous Variable Conversion
20:30 - Session Conclusion