Complete PD Model Dev: Stats, Balancing, Scaling, Models, Monitoring, Automation

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, one-hot 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! 🌐🔍🚀 You may also like to What is probability of default -    • EDA on Real Life on Job Banking Data ...   Exploratory Data Analysis -    • EDA - Exploratory Data Analysis | EDA...   Data Science Playlist -    • Data Science   Precision, Recall & F1-Score -    • Accuracy, Confusion Matrix, Precision...   PowerBI All in One -    • Power BI Mastery: Complete Tutorial f...   PowerBI Dashboard for Beginners -    • Dashboard Creation in Power BI | Begi...   Data Science Playlist -    • Data Science   Pandas Full Playlist -    • Python Pandas Tutorial for Beginners ...   NumPy Full Playlist -    • NumPy   Matplotlib Full Playlist -    • Python Matplotlib Tutorial for Beginn...   Seaborn Full Playlist -    • Seaborn Beginner to Pro | Seaborn Tut...   📌 PD Model Dev Series Playlist:    • Credit Risk: Probability of Default M...   Resources - Developed script in the video - github.com/LEARNEREA/Data_Science/blob/main/Script… Script to understand the diff. in scores - github.com/LEARNEREA/Data_Science/blob/main/Script… Automated Pre-processing - github.com/LEARNEREA/Data_Science/blob/main/Script… Logistic saved model - github.com/LEARNEREA/Data_Science/blob/main/Script… Random Forest saved model - github.com/LEARNEREA/Data_Science/blob/main/Script… XGB saved model - github.com/LEARNEREA/Data_Science/blob/main/Script… Raw data utilised in the development - github.com/LEARNEREA/Data_Science/blob/main/Data/c… #PredictiveModeling #DataScience #CreditRiskAssessment #MachineLearning #DataPreparation #ModelTraining #FeatureEngineering #Automation #DataAnalytics #DataMining #XGBoost #RandomForest #LogisticRegression #DataVisualization #DashboardDevelopment #ModelMonitoring #AlgorithmTraining #DataProcessing #AnalyticsSeries #MLInPractice #AIforFinance #StatisticalAnalysis #DescriptiveStats #DataOptimization #FeatureImportance #DataInsights #TechEducation #ProfessionalDevelopment #DataScientists #AnalyticsJourney