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Курс от University of California San Diego
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Design Thinking and Predictive Analytics for Data Products
Курс от University of California San DiegoО курсе
This is the second course in the four-course specialization Python Data Products for Predictive Analytics, building on the data processing covered in Course 1 and introducing the basics of designing predictive models in Python. In this course, you will understand the fundamental concepts of statistical learning and learn various methods of building predictive models. At each step in the specialization, you will gain hands-on experience in data manipulation and building your skills, eventually culminating in a capstone project encompassing all the concepts taught in the specialization.
Навыки, которые вы освоите
Regression AnalysisFeature EngineeringData ManipulationSupervised LearningModel TrainingTensorflowModel OptimizationData CleansingClassification AlgorithmsLogistic RegressionPredictive AnalyticsData ProcessingDesign ThinkingStatistical Machine LearningMachine Learning MethodsStatistical ModelingPredictive ModelingScikit Learn (Machine Learning Library)
Программа курса
5 модулей · 42 учебных материалов
01Week 1: Supervised Learning & Regression14 материалов
Учитесь у экспертов
Julian McAuley
Assistant Professor
Ilkay Altintas
Chief Data Science Officer