WitrynaISLR (Print7), Chapter 5: 1, 2, 5, 6, and Bonus question 8* (You don't need to work on it; but if you work on it, bonus credit will be given to you). Deadline: Mar 6, 2024. Deadline: Mar 6, 2024. Please submit your homework to the Email address above (statml.hw) before class, including source codes (or link) if necessary. WitrynaISLR Second Edition. A Note About the Chapter 10 Lab. The original Chapter 10 lab made use of keras, an R package for deep learning that relies on Python. Getting keras to work on your computer can be a bit of a challenge. ... Chapter 5 .R File. Chapter 6 .R File. Chapter 7 .R File. Chapter 8 .R File. Chapter 9 .R File. Chapter 10 .R File ...
ISLR/Chapter 5 Lab.txt at master · rghan/ISLR · GitHub
Witryna23 gru 2015 · Datasets ## install.packages("ISLR") library (ISLR) head (Auto) ## mpg cylinders displacement horsepower weight acceleration year origin ## 1 18 8 307 130 3504 12.0 70 1 ## 2 15 8 350 165 3693 11.5 70 1 ## 3 18 8 318 150 3436 11.0 70 1 ## 4 16 8 304 150 3433 12.0 70 1 ## 5 17 8 302 140 3449 10.5 70 1 ## 6 15 8 429 198 … WitrynaExercise 5.5 import pandas as pd import numpy as np import patsy import seaborn as sns import matplotlib.pyplot as plt import statsmodels.formula.api as smf from sklearn.model_selection import train_test_split from sklearn.linear_model import LogisticRegression from sklearn.metrics import confusion_matrix # statsmodels issue: … raw to png online
GitHub - melling/ISLR: Introduction to Statistical Learning
Witryna27 kwi 2024 · ISLR Solutions. This repo provides the solutions to the Applied exercises after every chapter in the first edition of the book "Introduction to Statistical Learning" … WitrynaChapter 1 -- Introduction (No exercises) Chapter 2 -- Statistical Learning. Chapter 3 -- Linear Regression. Chapter 4 -- Classification. Chapter 5 -- Resampling Methods. … simple mazes free