Updated Aug 4, 2024 Python yunusbagriacik / sales-analysis-and-linear-predictive-model Star 0 Code Issues Pull requests In this repository, sales analysis of 5-year-period is analysed. Lots of linear regression model have been applied. Finally, ensemble method is applied. data-science mach...
python main.py --method gradient_descent or python main.py --method normal_equations Running the GUI To run the graphical user interface for the linear regression project, use the following command: python linear_regression_gui.py Project Components ...
regression 基础 模型 torch03:linear_regression 编程算法 (2)定义训练数据:或者使用自己的数据集:(可参考:https://blog.csdn.net/u014365862/article/details/80506147) MachineLP 2019/05/26 3920 Pytorch拟合任意函数 测试模型数据网络 1、读入数据import randomimport numpy as npimport matplotlib.pyplot as plt...
J_history=np.zeros((num_iters,1))foriterinrange(num_iters):# 对J求导,得到 alpha/m*(WX-Y)*x(i),(3,m)*(m,1)X(m,3)*(3,1)=(m,1)theta=theta-(alpha/m)*(X.T.dot(X.dot(theta)-y))J_history[iter]=computeCost(X,y,theta)returnJ_history,theta iterations=10000#迭代次数 alph...
Simple Linear Regression Data set and code for ipython notebook pleace click the github link below. Data from 2016 shanghai Annals of Statistics. In statistics, simple linear regression is a linear regression model with a single explanatory variable. That is, it concerns two-dimensional sample po...
[57] is a well known Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised ML problems. It supports tools for classification, regression, clustering, dimensionality reduction, model selection and preprocessing. It is based ...
In Python, we can find the same data set in the scikit-learn module. import numpy as np import pandas as pd from numpy.linalg import inv from sklearn.datasets import load_boston from statsmodels.regression.linear_model import OLS Next, we can load the Boston data using the load_boston ...
“statistical” learning is just that, a perspective. Data is phrased in terms of independent and dependent variables, and statistical techniques are leveraged against the data. In this post we’ll focus on the simplest example of this, linear regression, and in the sequel see it applied to ...
The task of regression is to predict label values based on feature values.We often create a label by projecting the values of a feature in the future.For instance, if we would like to predict the price of a stock for next month using historical monthly data, we would create the label ...
# 运行以下代码测试你的 addScaledRow 函数 %run -i -e test.py LinearRegressionTestCase.test_addScaledRow . --- Ran 1 test in 0.003s OK 2.3 Gaussian Jordan 消元法求解 Ax = b 2.3.1 算法 步骤1 检查A,b是否行数相同 步骤2 构造增广矩阵Ab 步骤3 逐列转换Ab为化简行阶梯形矩阵 中文维基链接...