Programmer Group

Absrtact: using SQL as the entry of data query and analysis is an idea of data full stack. This article is shared from Huawei cloud community< How to use SQL to analyze data? >, author: zuozewei. preface We process user data in real time through OLTP (online transaction processing) system, and we also need to analyze them in OLAP ( ...

Original link: http://tecdat.cn/?p=24346 1.1 project background:In today's highly homogeneous brand marketing stage, the competition between enterprises is mainly reflected in the competition for customers. "User is God" urges many enterprises to compete for as many customers as possible at any cost. However, in the process of develop ...

How to check the mean square error to judge whether the prediction result is correct? (case: linear regression, random forest California house price data set) Why use the mean square error? Can't the previous accuracy? Because the results of regression model are continuous variables, it is impossible to judge directly by right or wrong. Howev ...

The previous article talked about how to build our own network with keras, and explained some common parameters. This article will briefly introduce how to use the framework in the previous article to identify MNIST data sets. MNIST dataset is already a "chewed" dataset. Many tutorials will "start" on it and almost become a ...

There are two main methods of feature extraction, one is word bag model, and the other is TF-IDF Model( term frequency-inverse document frequency,Word frequency and reverse file frequency) 1. Word bag model 1.1 word bag and word set There are two very important models for text feature extraction Word set model: a set of words. Naturally ...

Reference link: mainly based on the Chinese version of scikit learn (sklearn) official documents: https://sklearn.apachecn.org/#/ 7 text feature extraction methods: http://blog.sina.com.cn/s/blog_b8effd230102zu8f.html Train of sklearn_ test_ Explanation of the meaning of the parameters of split() function (very complete): https://www.cnblogs.co ...

Python+OpenCV+dlib for face recognition IDE: Jupyter Notebook(Anaconda3) Python version: Python 3.8 Native environment: Windows 10 Principle overview Call dlib library for face recognition, call predictor "shape_predictor_68_face_landmarks.dat" for 68 point face calibration, and use opencv library function for simple image ...

preface Linear regression (Linear Rrgresson) is one of the simplest machine learning algorithms. It is the first algorithm for most new machine learning, which is equivalent to the "Hello World" in machine learning. In order to let everyone better learn linear regression, the author will use numpy (handwritten) batch gradient d ...

preface The essence of logistic regression mentioned in the previous blog is to find a straight line on the plane and use this straight line to segment the classification corresponding to all samples. Therefore, in most cases, logistic regression can only solve the dichotomous problem, because this straight line can only divide our plane into ...

Catalogue of series articles Tip: you can add the directories of all articles in the series here. You need to add the directories manually TODO: finishing after writing preface Limited cognition, I hope you will forgive me. If you have any problems, I hope to communicate with you and grow together! This paper first makes a brief in ...