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Building Regression Models with Linear Algebra
Coursera
Course
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Building Regression Models with Linear Algebra

Howard University

Learn to differentiate regression model types and apply the Least Squares Method manually and with Python for data analysis.

Unknown4 weeksArabic, German, UZ, English

About this Course

In this course, you'll learn how to distinguish between the different types of regression models. You will apply the Method of Least Squares to a dataset by hand and using Python. In addition, you will learn how to employ a linear regression model to identify scenarios. Let's get started!

What You'll Learn

  • Distinguish different regression model types
  • Apply the Least Squares Method manually
  • Use Python to implement regression models
  • Employ linear regression models for scenario analysis

Prerequisites

  • Basic computer and internet skills
  • Ability to understand instructions and complete exercises in English

Instructors

D

Dennis Davenport

Graduate Director and Associate Professor

M

MOUSSA DOUMBIA

Faculty

Topics

Software Development
Computer Science
Math and Logic
Regression Analysis
Data Manipulation
Linear Algebra
Predictive Modeling
Machine Learning Methods
Applied Mathematics
Statistical Modeling

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تطوير البرمجيات
علوم الحاسوب
المنطق والرياضيات
تحليل الانحدار
معالجة البيانات
الجبر الخطي
النمذجة التنبؤية
طرق التعلم الآلي
Applied Mathematics
Statistical Modeling

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