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A Comprehensive Ecourse on Data Science comprising the following topics : Statistical Techniques : Outlier Detection: Chauvenet Method Dixon Thompson Method Rosner's Method Ten Most Recognizable Case Studies of Using Outlier Detection for Model Development Trend Detection What is a Trend and How do you detect a trend in a set of data? Runs Test Correlation Determination Auto and Cross-Correlation Risk and Uncertainty What is Risk and Vulnerability? Weibull’s Method Numerical Analysis Uncertainty Analysis Linear Regression Non-Linear Regression Artificial Intelligence Fundamentals What is Artificial Neural Network(ANN)? Parameter Estimation Training Algorithms Testing of the Network Validation of the Networks Example Problems Training Algorithms Quick Propagation Conjugate Gradient Descent Newtons Method Quasi Newton Levenberg Marquardt Advanced ANN Polynomial Neural Networks Group Method of Data Handling Testing ANN Performance ERROR IDENTIFICATION METRICS REGRESSION ERROR CLASSIFI