Programmer Think

1, Knowledge reserve preface Don't worry that you are Xiaobai now. Don't worry that you are not ready now. This article will take you counter attack and don't worry anymore. Just look at my article! Of course, if you have better information to read together, why do I set up this column, because I try every article myself and write the cod ...

Return to actual house price forecast Use what you have learned to solve real-world problems. Let's use these principles to estimate house prices. Housing valuation is one of the most classic cases to understand regression analysis, which is usually a good entry point. It is in line with people's intuition and with people Our lives are clos ...

Learning source code import numpy as np import matplotlib.pyplot as plt def true_fun(X): # This is the real function we set, that is, the model of ground truth return 1.5*X + 0.2 np.random.seed(0) # Set random seed n_samples = 30 # Sets the number of sampling data points '''Generate random data as training set, and add some noise''' X_ ...

The original text is reproduced from "Liu Yue's technology blog" https://v3u.cn/a_id_201Some time ago, AnimeGAN, the industry's famous animation style transformation filter library, released the latest v2 version. For a time, there was no difference in the limelight. Tiktok two yuan, the largest user base in China is undoubtedly the j ...

1.Logistic Regression Given Data X = x 1 , x 2 , ...

Official account: Special HouseAuthor: PeterEditor: Peter Hello, I'm Peter~ This article introduces the four row column conversion methods in Pandas, including: melttranspose T or transferwide_to_longexplode (explosion function) Finally, answer a data processing question asked by a reader friend. Pandas row column conversion There a ...

Original link: http://tecdat.cn/?p=24721  In this paper, I use two examples that may be of interest to population ecologists to illustrate the use of "JAGS" to simulate data: the first is linear regression, and the second is to estimate animal survival rate (formulated as state space model).Recently, I have been trying to simulate dat ...

Numpy has long been a universal choice for Python developers to perform array operations. It is built based on C language, which makes it a fast and reliable choice to perform array operations, and it has become a necessary basic library for machine learning and data science.In this article, I sorted out some fragments of NumPy code, which are ...

1 source data This time, we use the data of common words in teenagers' social networks to conduct market research The method used is K-Means clustering method, and the principle is not introduced 2 data exploration and preprocessing # Data preprocessing import pandas as pd teenager_sns = pd.read_csv('teenager_sns.csv') # View the last 20 ro ...

Creative background Ben Caiji recently wanted to learn machine learning, but he learned naive Bayes. If you think my article is well written, can you give me some praise and comment on it. It's not impossible to focus on it 🤗 Algorithm classification Generally speaking, classification algorithms can be divided into generative algorithms ...