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Курс от Coursera
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Mining Quality Prediction Using Machine & Deep Learning
Курс от CourseraО курсе
In this 1.5-hour long project-based course, you will be able to: - Understand the theory and intuition behind Simple and Multiple Linear Regression. - Import Key python libraries, datasets and perform data visualization - Perform exploratory data analysis and standardize the training and testing data. - Train and Evaluate different regression models using Sci-kit Learn library. - Build and train an Artificial Neural Network to perform regression. - Understand the difference between various regression models KPIs such as MSE, RMSE, MAE, R2, and adjusted R2. - Assess the performance of regression models and visualize the performance of the best model using various KPIs.
Навыки, которые вы освоите
Data AnalysisRegression AnalysisData Import/ExportApplied Machine LearningModel EvaluationData PreprocessingTest DataDecision Tree LearningPredictive ModelingStatistical MethodsStatistical Machine LearningDeep LearningPython ProgrammingSupervised LearningScikit Learn (Machine Learning Library)Artificial Neural NetworksMachine Learning MethodsExploratory Data AnalysisMachine LearningModel Training
Программа курса
1 модулей · 4 учебных материалов
01Mining Quality Prediction4 материалов
Учитесь у экспертов
Dr. Ryan Ahmed
Professor & AI Expert (1M+ Students)