Task 15: integrated learning case 2 (steam volume prediction)

Reference source: https://github.com/datawhalechina/team-learning-data-mining/tree/master/EnsembleLearning 1. Data set 1.1 background introduction The basic principle of thermal power generation is: when the fuel is burned, it heats water to generate steam, the steam pressure drives the steam turbine to rotate, and then the steam turbine ...

Posted by google_man2000 on Thu, 10 Feb 2022 00:16:40 +0100

Study notes on data analysis - basic drawing of Matplotlib line chart and analysis of relevant parameters in the code

1, Code from matplotlib import pyplot as plt from matplotlib import font_manager #Set the value of x, y x1=[-7,-4,-1,0,3,5,7,9,12,15,16,17] y1=[12,13,15,17,23,11,13,26,99,10,12,36] y2=[-12,73,-15,7,13,33,12,36,9,11,1,7] #Set the size and pixels of the instance fig fig = plt.figure(figsize=(30,10),dpi=300) #Import windows fonts font = fon ...

Posted by timmytock on Wed, 09 Feb 2022 18:44:48 +0100

Introduction to Machine Learning--Polynomial Regression

1. Polynomial Regression If your data points are obviously unsuitable for linear regression (straight lines between data points), polynomial regression may be an ideal choice. Like linear regression, polynomial regression uses the relationship between variables x and y to find the best way to plot data point lines. 2. Working principle ...

Posted by phpshift on Tue, 08 Feb 2022 18:38:32 +0100

Numpy quick start - advanced array operation

1, Change the shape of the array functioneffectnp.reshape(a, newshape)a is an array and newshape is an integer tuple; Returns an array of newshape shapesnp.ravel(a)Flatten into a one-dimensional array; Equivalent to NP reshape(a, -1)np.flatten(a)The effect is the same as that of t ravel, but flatten is more recommended 1.1 np.reshape() A ...

Posted by n_wattam on Tue, 08 Feb 2022 16:45:31 +0100

scala learning notes - type parameters

Multiple definition Type variables can have both upper and lower bounds. Written as: T >: Lower <: Upper There cannot be multiple upper bounds or multiple lower bounds at the same time; However, you can still require a type to implement multiple characteristics, like this: T <: Comparable[T] with Serializable with Cloneable Ther ...

Posted by mbhcool on Tue, 08 Feb 2022 06:46:44 +0100

Fundamentals of python data analysis 02 -- pandas related operations

pandas advanced operations import pandas as pd import numpy as np from pandas import DataFrame Replace operation The replacement operation can act synchronously in Series and DataFrame Single valued substitution Normal replacement: replace all qualified elements: to_replace=15,value=‘e’Specify single value substitution ...

Posted by dkjohnson on Mon, 07 Feb 2022 21:40:28 +0100

Fundamentals of python data analysis 03 - exercise items

Population analysis cases Requirements: Import the file and view the original dataSummarize population data and state abbreviation dataDelete the duplicate abstraction column in the summarized dataView the columns with missing data in the summarized dataFind out which states / regions make the value of state NaN in the summarized data, ...

Posted by saidbakr on Mon, 07 Feb 2022 20:57:01 +0100

Two methods for Python to copy all sheet s in a table to another table [openpyxl / pandas] Practical Work Skills Sorting Series

Good morning, everyone. My name is Wu. If you think the article is well written, you can also call me Mr. Wu. Welcome to join me in the world of data analysis and learning! Interested friends can follow me Data Analysis Column There are many good articles to share with you. Front End Time encountered a problem while working - how to copy ...

Posted by ThinkGeekness on Mon, 07 Feb 2022 18:46:52 +0100

Python time series analysis and Practice

Time series analysis ARIMA Stationarity: stationarity requires that the fitting curve obtained through the sample time series can continue along the existing form "inertia" in the future Stationarity requires that the mean and variance of the series do not change significantly Strict and weak stability: Yan pingwen: the distr ...

Posted by trinitywave on Mon, 07 Feb 2022 13:31:46 +0100

III The representation of structure in memory

The representation of structure in memory structural morphology 1. We talked about struct before. We all know that struct can store many different data types 2. This will inevitably lead to a problem 3. Our structure needs memory alignment 4. If it is not aligned, the memory arrangement will be very disordered (unless there are some special r ...

Posted by PseudoEvolution on Thu, 03 Feb 2022 09:34:33 +0100