#  @predictivelyrational Predictively Rational Predictively Rational posts on YouTube about credit, model, part1 the most. They currently have [--] followers and [--] posts still getting attention that total [---] engagements in the last [--] hours. ### Engagements: [---] [#](/creator/youtube::UCuwtQnBALTxtczEGT38sv4Q/interactions)  ### Mentions: [--] [#](/creator/youtube::UCuwtQnBALTxtczEGT38sv4Q/posts_active)  ### Followers: [--] [#](/creator/youtube::UCuwtQnBALTxtczEGT38sv4Q/followers)  ### CreatorRank: undefined [#](/creator/youtube::UCuwtQnBALTxtczEGT38sv4Q/influencer_rank)  ### Social Influence **Social category influence** [finance](/list/finance) **Social topic influence** [credit](/topic/credit), [model](/topic/model), [part1](/topic/part1) ### Top Social Posts Top posts by engagements in the last [--] hours "Episode 2: Methodology of building a credit risk model (Part1) This session covers following steps in building a credit risk model: Step 1: Defining the objective Step [--] : Defining sample window Step 3: Defining the target Step 4: Defining the performance window Step 5: Defining the bureau history Window #MachineLearningInFinance #MLInBanking #AIInBanking #FinancialMachineLearning #BankingAnalytics #CreditRiskModeling #FraudDetectionModels #RiskAnalytics #FintechAI #QuantitativeFinance #XGBoost #LogisticRegression #RandomForest #DeepLearning #NeuralNetworks #TimeSeriesForecasting" [YouTube Link](https://youtube.com/watch?v=08czMkxnQN4) 2026-02-14T19:30Z [--] followers, [--] engagements "Episode 1: Introduction to Credit Risk Models Hi all I am Mehul and welcome to Predictively Rational. This channel is about Machine learning models with its specific use case in the banking domain. The objective is not just to cover the underlying mathematical algorithm or model building procedure but to also cover the strategic aspects of implementing these models which are unique to the banking domain. Topics are split into concise [--] minute models easy to consume and follow. #MachineLearningInFinance #MLInBanking #AIInBanking #FinancialMachineLearning #BankingAnalytics #CreditRiskModeling" [YouTube Link](https://youtube.com/watch?v=2hIlJd66Me4) 2026-02-14T19:22Z [--] followers, [---] engagements "Episode 3: Methodology of building a credit risk model (part 2) This session covers following steps in building a credit risk model: Step 6: Sampling the data Step 7: Feature development #MachineLearningInFinance #MLInBanking #AIInBanking #FinancialMachineLearning #BankingAnalytics #CreditRiskModeling #FraudDetectionModels #RiskAnalytics #FintechAI #QuantitativeFinance #XGBoost #LogisticRegression #RandomForest #DeepLearning #NeuralNetworks #TimeSeriesForecasting #FeatureEngineering #ModelValidation #ExplainableAI #ModelDeployment #BankingTechnology #FintechStartups #DigitalBanking" [YouTube Link](https://youtube.com/watch?v=4w5DgL9rloA) 2026-02-14T19:37Z [--] followers, [--] engagements "Episode 3: Methodology of building a credit risk model (part 2) This session covers following steps in building a credit risk model: Step 6: Sampling the data Step 7: Feature development #MachineLearningInFinance #MLInBanking #AIInBanking #FinancialMachineLearning #BankingAnalytics #CreditRiskModeling #FraudDetectionModels #RiskAnalytics #FintechAI #QuantitativeFinance #XGBoost #LogisticRegression #RandomForest #DeepLearning #NeuralNetworks #TimeSeriesForecasting #FeatureEngineering #ModelValidation #ExplainableAI #ModelDeployment #BankingTechnology #FintechStartups #DigitalBanking" [YouTube Link](https://youtube.com/watch?v=4w5DgL9rloA) 2026-02-14T19:37Z [--] followers, [--] engagements "Episode 2: Methodology of building a credit risk model (Part1) This session covers following steps in building a credit risk model: Step 1: Defining the objective Step [--] : Defining sample window Step 3: Defining the target Step 4: Defining the performance window Step 5: Defining the bureau history Window #MachineLearningInFinance #MLInBanking #AIInBanking #FinancialMachineLearning #BankingAnalytics #CreditRiskModeling #FraudDetectionModels #RiskAnalytics #FintechAI #QuantitativeFinance #XGBoost #LogisticRegression #RandomForest #DeepLearning #NeuralNetworks #TimeSeriesForecasting" [YouTube Link](https://youtube.com/watch?v=08czMkxnQN4) 2026-02-14T19:30Z [--] followers, [--] engagements "Episode 1: Introduction to Credit Risk Models Hi all I am Mehul and welcome to Predictively Rational. This channel is about Machine learning models with its specific use case in the banking domain. The objective is not just to cover the underlying mathematical algorithm or model building procedure but to also cover the strategic aspects of implementing these models which are unique to the banking domain. Topics are split into concise [--] minute models easy to consume and follow. #MachineLearningInFinance #MLInBanking #AIInBanking #FinancialMachineLearning #BankingAnalytics #CreditRiskModeling" [YouTube Link](https://youtube.com/watch?v=2hIlJd66Me4) 2026-02-14T19:22Z [--] followers, [---] engagements Limited data mode. Full metrics available with subscription: lunarcrush.com/pricing
@predictivelyrational Predictively RationalPredictively Rational posts on YouTube about credit, model, part1 the most. They currently have [--] followers and [--] posts still getting attention that total [---] engagements in the last [--] hours.
Social category influence finance
Social topic influence credit, model, part1
Top posts by engagements in the last [--] hours
"Episode 2: Methodology of building a credit risk model (Part1) This session covers following steps in building a credit risk model: Step 1: Defining the objective Step [--] : Defining sample window Step 3: Defining the target Step 4: Defining the performance window Step 5: Defining the bureau history Window #MachineLearningInFinance #MLInBanking #AIInBanking #FinancialMachineLearning #BankingAnalytics #CreditRiskModeling #FraudDetectionModels #RiskAnalytics #FintechAI #QuantitativeFinance #XGBoost #LogisticRegression #RandomForest #DeepLearning #NeuralNetworks #TimeSeriesForecasting"
YouTube Link 2026-02-14T19:30Z [--] followers, [--] engagements
"Episode 1: Introduction to Credit Risk Models Hi all I am Mehul and welcome to Predictively Rational. This channel is about Machine learning models with its specific use case in the banking domain. The objective is not just to cover the underlying mathematical algorithm or model building procedure but to also cover the strategic aspects of implementing these models which are unique to the banking domain. Topics are split into concise [--] minute models easy to consume and follow. #MachineLearningInFinance #MLInBanking #AIInBanking #FinancialMachineLearning #BankingAnalytics #CreditRiskModeling"
YouTube Link 2026-02-14T19:22Z [--] followers, [---] engagements
"Episode 3: Methodology of building a credit risk model (part 2) This session covers following steps in building a credit risk model: Step 6: Sampling the data Step 7: Feature development #MachineLearningInFinance #MLInBanking #AIInBanking #FinancialMachineLearning #BankingAnalytics #CreditRiskModeling #FraudDetectionModels #RiskAnalytics #FintechAI #QuantitativeFinance #XGBoost #LogisticRegression #RandomForest #DeepLearning #NeuralNetworks #TimeSeriesForecasting #FeatureEngineering #ModelValidation #ExplainableAI #ModelDeployment #BankingTechnology #FintechStartups #DigitalBanking"
YouTube Link 2026-02-14T19:37Z [--] followers, [--] engagements
"Episode 3: Methodology of building a credit risk model (part 2) This session covers following steps in building a credit risk model: Step 6: Sampling the data Step 7: Feature development #MachineLearningInFinance #MLInBanking #AIInBanking #FinancialMachineLearning #BankingAnalytics #CreditRiskModeling #FraudDetectionModels #RiskAnalytics #FintechAI #QuantitativeFinance #XGBoost #LogisticRegression #RandomForest #DeepLearning #NeuralNetworks #TimeSeriesForecasting #FeatureEngineering #ModelValidation #ExplainableAI #ModelDeployment #BankingTechnology #FintechStartups #DigitalBanking"
YouTube Link 2026-02-14T19:37Z [--] followers, [--] engagements
"Episode 2: Methodology of building a credit risk model (Part1) This session covers following steps in building a credit risk model: Step 1: Defining the objective Step [--] : Defining sample window Step 3: Defining the target Step 4: Defining the performance window Step 5: Defining the bureau history Window #MachineLearningInFinance #MLInBanking #AIInBanking #FinancialMachineLearning #BankingAnalytics #CreditRiskModeling #FraudDetectionModels #RiskAnalytics #FintechAI #QuantitativeFinance #XGBoost #LogisticRegression #RandomForest #DeepLearning #NeuralNetworks #TimeSeriesForecasting"
YouTube Link 2026-02-14T19:30Z [--] followers, [--] engagements
"Episode 1: Introduction to Credit Risk Models Hi all I am Mehul and welcome to Predictively Rational. This channel is about Machine learning models with its specific use case in the banking domain. The objective is not just to cover the underlying mathematical algorithm or model building procedure but to also cover the strategic aspects of implementing these models which are unique to the banking domain. Topics are split into concise [--] minute models easy to consume and follow. #MachineLearningInFinance #MLInBanking #AIInBanking #FinancialMachineLearning #BankingAnalytics #CreditRiskModeling"
YouTube Link 2026-02-14T19:22Z [--] followers, [---] engagements
Limited data mode. Full metrics available with subscription: lunarcrush.com/pricing
/creator/youtube::predictivelyrational