Undergraduate Certificate in Statistical Learning for Lending Analytics
-- viewing nowThe Undergraduate Certificate in Statistical Learning for Lending Analytics is a comprehensive course that equips learners with essential skills in statistical analysis and machine learning, specifically tailored for the lending industry. This course is vital in today's data-driven world, where the ability to analyze and interpret complex data sets is in high demand.
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Course Details
• Basic Statistical Concepts: Descriptive statistics, probability, distributions, hypothesis testing, confidence intervals
• Data Preprocessing: Data cleaning, missing value imputation, feature scaling, data transformation, data splitting
• Regression Analysis: Simple and multiple linear regression, logistic regression, regularization techniques
• Classification Algorithms: Decision trees, random forests, support vector machines, k-nearest neighbors
• Model Evaluation: Cross-validation, performance metrics, bias-variance tradeoff
• Unsupervised Learning: Clustering methods, dimensionality reduction, anomaly detection
• Time Series Analysis: ARIMA, exponential smoothing, prophet, state space models
• Deep Learning: Neural networks, convolutional neural networks, recurrent neural networks
• Special Topics: Natural language processing, computer vision, recommender systems
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