Multiclass classification using scikit-learn Multiclass classification is a popular problem in supervised machine learning. Problem – Given a dataset of m training examples, each of which contains information in the form of various features and a label. Each label corresponds to a class, to which the training example belongs to. In multiclass classification, we have a finite …
Visualize Performance History Preliminaries /* Load libraries */ import numpy as np from keras.datasets import imdb from keras.preprocessing.text import Tokenizer from keras import models from keras import layers import matplotlib.pyplot as plt /* Set random seed */ np.random.seed(0) Using TensorFlow backend. Load Movie Review Data /* Set the number of features we want */ number_of_features …
k-Means Clustering Preliminaries /* Load libraries */ from sklearn import datasets from sklearn.preprocessing import StandardScaler from sklearn.cluster import KMeans Load Iris Flower Dataset /* Load data */ iris = datasets.load_iris() X = iris.data Standardize Features /* Standarize features */ scaler = StandardScaler() X_std = scaler.fit_transform(X) Conduct k-Means Clustering /* Create k-mean object */ clt = …
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