Machine learning -- the principle and basic implementation of logical regression
summary
Logistic Regression (LR) is actually a very misleading concept. Although it has the word "regression" in its name, it is best at dealing with classification problems. LR classifier is applicable to various generalized classification tasks, such as positive and negative emotion analysis of comment information (secondary ...
Posted on Wed, 24 Nov 2021 15:48:04 -0500 by Yves
Logistic regression using gradient descent method
#Load package
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline
path = 'LogiReg_data.txt'
#header=None: indicates that the first row in the file will not be set as column name by default.
#names is used to set the column name
pdData = pd.read_csv(path,header=None,sep = ',',names=['Exam 1','Exam 2','Admit ...
Posted on Fri, 12 Nov 2021 17:28:43 -0500 by prion
Deep learning: detailed explanation of logistic regression code based on Wu Enda's course assignment
1. Image preprocessing
import numpy as np
import matplotlib.pyplot as plt
import h5py
import scipy
from PIL import Image
from scipy import ndimage
def load_dataset(): #Read data in the corresponding path
train_dataset = h5py.File('datasets/train_catvnoncat.h5', "r")
train_set_x_orig = np.array(train_dataset["train_set_x"] ...
Posted on Fri, 22 Oct 2021 00:07:48 -0400 by byenary