Welcome to our comprehensive PD Model Development Series! Embark on a journey to master predictive modelling for credit risk assessment. Whether you're a beginner or a seasoned professional, each video equips you with essential skills. The video has six segments, which are

1st Segment: Master Data Prep & Descriptive Stats
Dive into data preparation essentials. Learn to handle descriptive statistics, detect outliers, manage missing values, and more. Ideal for data scientists, analysts, and ML enthusiasts.

2nd Segment: Categorical Features Optimization
Explore advanced techniques for optimizing PD models. Delve into categorical features, onehot encoding, scaling, and class balancing. Perfect for seasoned data scientists.

3rd Segment: XGBoost, Random Forest, Logistic Regression Models
Master predictive modeling using powerful algorithms. Learn model training and interpreting feature importance. Essential for data scientists seeking advanced techniques.

4th Segment: Seamless Integration: Scaled, Balanced Predictions
Discover integrating scaled and balanced predictions with the original dataset. Seamlessly merge optimized predictions, creating a robust foundation for predictive modeling.

5th Segment: Model Monitoring Dashboard
Dive into Model Monitoring mastery. Explore a dashboard tracking KPIs, Confusion Matrix insights, and detailed predictions. Essential for assessing and optimizing model performance.

6th Segment: Automating Preprocessing & Model Saving
Delve into advanced automation. Create a robust preprocessing module, save steps and trained models. Perfect for data scientists and professionals aiming to master predictive modeling.

Series Overview:
This video caters to data science enthusiasts, analysts, and professionals seeking to master predictive modelling and automation. Subscribe, like, and turn on notifications for insights essential for credit risk assessment.

Explore each Segment for a complete guide to PD Model Development! Let's unlock the potential of Predictive Modeling together!

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Resources
Developed script in the video https://github.com/LEARNEREA/Data_Sci...
Script to understand the diff. in scores https://github.com/LEARNEREA/Data_Sci...
Automated Preprocessing https://github.com/LEARNEREA/Data_Sci...
Logistic saved model https://github.com/LEARNEREA/Data_Sci...
Random Forest saved model https://github.com/LEARNEREA/Data_Sci...
XGB saved model https://github.com/LEARNEREA/Data_Sci...

Raw data utilised in the development https://github.com/LEARNEREA/Data_Sci...

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