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Machine Learning for Data Analysis

Курс от Wesleyan University

Уровень не указан≈ 10.5 чАнглийский

О курсе

Are you interested in predicting future outcomes using your data? This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Make sure to familiarize yourself with course 3 of this specialization before diving into these machine learning concepts. Building on Course 3, which introduces students to integral supervised machine learning concepts, this course will provide an overview of many additional concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering. By completing this course, you will learn how to apply, test, and interpret machine learning algorithms as alternative methods for addressing your research questions.

Навыки, которые вы освоите

Model Evaluation Machine Learning Methods Random Forest Algorithm Statistical Machine Learning Analytics Unsupervised Learning Python Programming Data Analysis Machine Learning Predictive Modeling Decision Tree Learning Predictive Analytics Exploratory Data Analysis Classification And Regression Tree (CART)Machine Learning Algorithms Applied Machine Learning Data Mining Data Science Regression Analysis

Программа курса

4 модулей · 51 учебных материалов

01Decision Trees23 материалов

Software Setup and Course Supporting Materials

Some Guidance for Learners New to the SpecializationЧтение SAS or Python - Which to Choose?Чтение Getting Started with SASЧтение Getting Started with PythonЧтение

Учитесь у экспертов

Jen Rose

Research Professor

Lisa Dierker

Professor

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Обучение на Coursera

≈ 10.5 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Бенгальский, Узбекский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Вьетнамский, Нидерландский, Корейский, Немецкий, Пушту, Урду, Русский, Тайский, Индонезийский, Шведский, Турецкий, Азербайджанский, Испанский, Дари, Хинди, Японский, Казахский, Малайский, Венгерский, Польский

Machine Learning for Data Analysis

О курсе

Навыки, которые вы освоите

Программа курса

Software Setup and Course Supporting Materials

Учитесь у экспертов

Jen Rose

Lisa Dierker

What Is Machine Learning

Machine Learning and the Bias-Variance Tradeoff

What is a Decision Tree?

What is the Process of Growing a Decision Tree?

Building A Decision Tree with SAS

Building a Decision Tree with Python

Assignment

What is a Random Forest and How Is It 'Grown'?

Building a Random Forest with SAS

Building a Random Forest with Python

Validation and Cross-Validation

Assignment

What Is Lasso Regression?

Testing a Lasso Regression Model with SAS

Testing a Lasso Regression Model with Python

Lasso Regression Limitations

Assignment

What Is a k-Means Cluster Analysis?

Running a k-Means Cluster Analysis in SAS

Running a k-Means Cluster Analysis in Python

k-Means Cluster Analysis Limitations

Assignment