Description
Introduction to Regression Analysis is a course on the most important statistical and machine learning techniques used to analyze relationships between variables and predictions, published by the ZeroToMastery Online Academy. Students will learn how regression models work, how to interpret patterns in data, and how to build models that can estimate outcomes based on historical data. The course covers fundamental concepts such as linear regression, multiple regression, model assumptions, data preparation, evaluation criteria, and practical applications in business, science, finance, and artificial intelligence.
Along the way, you’ll explore topics such as feature selection, model bias, overfitting, survival analysis, and more. We take a hands-on approach: real-world datasets, guided projects, and step-by-step explanations to help you build confidence in each concept. Plus, you’ll put your new skills to work with final projects that bring all of this together, helping you demonstrate your skills and prepare for a career in data analytics, data science, and machine learning.
What you will learn in Introduction to Regression Analysis:
- Using Python to Explore and Visualize Data
- Avoid Common Regression Pitfalls Like Overfitting and Dummy Variable Bias
- Analyze Classification Problems Using Logistic Regression
- Apply Cox Regression to Survival Analysis Problems
- Using ChatGPT to Help with Python Modeling Tasks
- Interpret Regression Outputs to Guide Business Decisions
- Perform Real-World Essential Projects for Your Portfolio
- And…
Course specifications
Publisher: ZeroToMastery
Instructors: Diogo Resende
Language: English
Level: Introductory to Advanced
Number of Lessons: 82
Duration: 6 hours and 20 minutes
Course topics
Introduction to Regression Analysis Prerequisites
No prior knowledge required!
Pictures
Introduction to Regression Analysis introduction video
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 1080p
Downloadly link
Downloadly link
File password (s): www.downloadly.ir
Size
1.2 GB
