Please provide the python for generating the training set and for logistic regression on that training set

Dataset Generation Write a function to generate a training set of size m randomly generate a weight vector w ER 10, normalize length generate a training set {(x;, y;)} of size m X;: random vector in Ro from N(0, 1) Yi: {0, +1} with P[y = +1] = o(w . Xi) and P[y = 0] = 1 - (w .x;) In [2] : def generate_data(m): # returns the true was well as X, Y data Algorithm 1: logistic regression The goal is to learn w. Algorithm 1 is logistic regression (you may use the built-in method LogisticRegression for this. Use max_iter=1000). In [ ]: Dataset Generation Write a function to generate a training set of size m randomly generate a weight vector w ER 10, normalize length generate a training set {(x;, y;)} of size m X;: random vector in Ro from N(0, 1) Yi: {0, +1} with P[y = +1] = o(w . Xi) and P[y = 0] = 1 - (w .x;) In [2] : def generate_data(m): # returns the true was well as X, Y data Algorithm 1: logistic regression The goal is to learn w. Algorithm 1 is logistic regression (you may use the built-in method LogisticRegression for this. Use max_iter=1000). In [ ]