Introduction to Linear Regression Training

117 students enrolled
This foundational course on linear regression equips you with the essential knowledge and hands-on skills to build predictive models. Begin with core ML concepts and algorithms, then progress to simple and multiple linear regression techniques. Learn how regression is applied in real-world scenarios, including a detailed profit estimation case study, to strengthen both theory and practice for data-driven decision-making. No prior machine learning knowledge is required. By the end of this course, you will be able to: - Grasp ML Basics: Understand core machine learning concepts and algorithms - Master Regression: Differentiate between simple and multiple linear regression - Apply Techniques: Use regression models to solve real-world business problems - Interpret Insights: Analyze regression outcomes and extract actionable predictions - Build Confidence: Strengthen both theoretical knowledge and practical application Ideal for professionals seeking to develop strong foundations in machine learning and predictive analytics.
CERTIFICATEKatılım Sertifikası
FORMAT100% Online
DURATIONSelf-paced

What you'll learn

  • Predictive Analytics
  • Regression Analysis
  • Predictive Modeling
  • Machine Learning
  • Forecasting
  • Machine Learning Algorithms
  • Case Studies
  • Algorithms

Details

  • ProviderSimplilearn
  • TypeCourse
  • CategoryData Science & AI
  • LanguageEnglish

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Ramazan Bölükbaşı
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Melis Gülsar
Hızlı desteği ve üst düzey hizmeti ile Campus Online ve Sosyal Medya Sertifika Programı hizmeti sağlayan Adnan Menderes Üniversitesine sonsuz teşekkürlerimi sunuyorum.
Nazif Bayram
$49
CampusOnline Assistant
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