Seaborn Regplot & Lmplot in Python – Mind Map

Seaborn Regplot & Lmplot in Python: lesson notes

1. 01Introduction to Regression Plots

   • Purpose

     • See trends between two numerical data
     • Important for Machine Learning (Linear, Multiple Regression)

   • Types of Regression Plots

     • Regplot (Axis-level graph)
     • Lmplot (Figure-level graph)

   • Key Concepts

     • Best Fit Line (Predicted Line)
     • Error (Distance from line to data point)
     • Equation: y = mx + c

2. 02Code Setup and Data Loading

   • Import Libraries

     • import numpy as np
     • import pandas as pd
     • import matplotlib.pyplot as plt
     • import seaborn as sns

   • Load Tips Dataset

     • sns.get_dataset_names()
     • df = sns.load_dataset('tips')
     • df.head()
     • df.info()

   • Load Penguins Dataset

     • penguins = sns.load_dataset('penguins')
     • penguins.head()
     • penguins.info()

3. 03