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Linear Regressions with StatsModels - Data Science Tutorial

Offered By: Derek Banas via YouTube

Tags

Statsmodels Courses Data Science Courses Python Courses Seaborn Courses Linear Regression Courses Matplotlib Courses pandas Courses NumPy Courses Statistical Modeling Courses Scatter Plots Courses

Course Description

Overview

Learn how to create linear regressions using StatsModels in this comprehensive video tutorial. Explore StatsModels' datasets and work through two practical examples combining NumPy, Pandas, Matplotlib, StatsModels, and Seaborn. Investigate the relationship between professors' ratings and attractiveness, and discover tips for increasing gratuities. Access the provided code on GitHub to follow along. Gain insights into data science techniques, including scatter plots and linear regressions, while working with real-world datasets. Perfect for those looking to enhance their Python data science skills and understand the practical applications of statistical modeling.

Syllabus

Intro
What is a regression
Data Science Libraries
Data
Teacher Evaluation
Scatter Plots
Linear Regressions


Taught by

Derek Banas

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