Spam identification: using machine learning to classify Chinese email content

preface With the rapid development of wechat, communication in work and life also depends more on it. However, due to the formality and standardization of e-mail, it is still irreplaceable. However, whether it is the internal work mailbox or personal mailbox of the enterprise, it always receives all kinds of spam, including merchants' advertis ...

Posted by derrick1123 on Mon, 14 Feb 2022 02:00:39 +0100

Prediction case of Telecom user loss

[Kaggle] Telco Customer Churn Telecom user churn prediction case Part III introduction    in the second part of the case, we introduce in detail the common feature transformation methods, some of which are necessary for model training, such as natural number coding and unique heat coding, while some methods focus on improvin ...

Posted by joelhop on Sat, 12 Feb 2022 17:38:39 +0100

Machine Learning - Coursera Wu Enda machine learning tutorial Week7 learning notes (Support Vector Machines)

support vector machine In the case of linear separability, the data point closest to the separation hyperplane in the sample points of the training data set is called support vector. The cost function and logistic regression are similar: Also known as large interval classifier, it can find the best linear classification position: The phys ...

Posted by IronCannibal on Sat, 12 Feb 2022 07:58:05 +0100

[PCL self study: Feature8] introduction and use of ROPS (rotating projection statistics) feature recognition object (continuously updated)

1, Introduction to the characteristic principle of ROPS (rotational projection statistics)   in this article, we continue to learn how to use the PCL:: ropestimate class to extract the features of points. The feature extraction method implemented in this class is written by Yulan Guo, ferdous sohel, Mohammed bennamon, min Lu and Jianwei w ...

Posted by wilzy1 on Sat, 12 Feb 2022 02:00:32 +0100

GBDT and XGBoost algorithms

GBDT gradient lifting iterative decision tree It is an integrated model. The base classifier adopts CART regression tree. GBDT is an algorithm to classify or regress data by using additive model and continuously reducing the residual generated in the training process. Intuitive understanding: there is a residual between each round of predictio ...

Posted by marcnyc on Sat, 12 Feb 2022 00:51:15 +0100

ML (machine learning) neural network, step function, sigmoid activation function

In the last article, we said that single-layer perceptron realizes simple logic circuit and multi-layer perceptron realizes XOR gate circuit. Threshold is introduced θ, Offset b. Now, according to the expression in the previous article, the reality activation function. The expression of our previous perceptron is as follows: y = { x1w1 ...

Posted by ashu.khetan on Fri, 11 Feb 2022 13:34:17 +0100

matplolib function summary

matplotlib Drawing function plot plot: draw a two-dimensional graph to connect the points of the plane import numpy as np import matplotlib.pyplot as plt x = np.linspace(-np.pi, np.pi, 256,endpoint=True) plt.plot(x,np.cos(x)) # x-axis y-axis plt.show() # Finally, enter this # If the x-axis is not specified, it will be 0,1,2 n-1 scatter ...

Posted by alcibar on Fri, 11 Feb 2022 11:17:42 +0100

Crawl to the public comment website and store comments

1, Reptile preparation 1.1 climbing target The target of the public comment Web crawler is the comment data of the store. The example is shown in the figure below. 1.2 web page analysis First log in, search for bubble water by keyword, and click a store at will to view all the evaluation interfaces, as shown in the figure below. First ...

Posted by SkippyK on Fri, 11 Feb 2022 00:38:36 +0100

09 Softmax regression + loss function + image classification dataset-P3

Practice the fashion MNIST dataset Like the theoretical knowledge of Chpater3 in the book (hands on machine learning with scikit learning), it can be read together, but the MNIST data set of Chapter 3 in the book cannot be imported at all import torch import torchvision from torch.utils import data from torchvision import transforms from d2l ...

Posted by jesbin on Thu, 10 Feb 2022 19:50:21 +0100

Case 01 of linear regression

The space here may be too long. Carry out the water alone. The tutorial video is only eight minutes long. I just looked at my ideas, and then I wrote it for two hours. I kept fixing mistakes, and finally came up with a result similar to the result in the video. Problem description According to the first-order equation of last class: y=1.477x+ ...

Posted by devil6600 on Thu, 10 Feb 2022 18:56:15 +0100