Descriptions
Data Science in Python: Regression, Master foundational Python skills for regression analysis and predictive modeling. This course covers essential regression techniques including linear, multiple, polynomial, and logistic regression, guiding you through theory, implementation, and evaluation in Python. You’ll learn how to prepare data, build and interpret models, assess performance, and communicate results for real-world analytics and business scenarios.
What you’ll learn
- Understand the theory and intuition behind regression models
- Implement linear, multiple, polynomial, and logistic regression in Python
- Prepare and clean data for regression analysis
- Evaluate model performance and interpret results
- Apply regression techniques to real-world analytics and business problems
Who this course is for
- Aspiring data scientists seeking hands-on experience with regression in Python
- Analysts and professionals wanting to apply predictive modeling to real-world datasets
- Anyone looking to build practical skills in regression analysis and model evaluation
Specificatoin of Data Science in Python: Regression
- Publisher : Maven Analytics
- Teacher : Chris Bruehl
- Language : English
- Level : All Levels
- Duration : 14 hours and 30 minutes
Content of Data Science in Python: Regression
Requirements
- We strongly recommend taking our Data Prep & EDA course first
- Jupyter Notebooks (free download, we’ll walk through the install)
- Familiarity with base Python and Pandas is recommended, but not required
Pictures
Sample Clip
Video Player
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Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 1080p
Download Links
Downloadly
Rapidgator
Password file(s): www.downloadly.ir
File size
1.29 GB
