Application of R language quantile regression, GAM spline curve, exponential smoothing and SARIMA to power load time series forecasting

Original link: http://tecdat.cn/?p=18359 Original source: Tuo end data tribal official accountPower load forecasting is the basis of power grid planning, and its level will directly affect the quality of power grid planning. In order to accurately predict power load, it is necessary to model. In this paper, quantile regression, GAM spline curve ...

Added by Far Cry on Thu, 13 Jan 2022 11:30:42 +0200

How do I automatically upload GIF files from AI Studio to CSDN?

Introduction: This paper presents the whole process of automatically compressing, downloading and uploading the motion pictures in GIF directory in AI Studio working environment to CSDN. The detailed code of implementation is given. Using this tool, you can complete more colorful data display functions. Keywords: GIF, AISTudio, CSDN ...

Added by skoobi on Thu, 13 Jan 2022 10:10:22 +0200

Teach you the basic operations of Python strings: splitting and connecting

Split stringIn Python, strings are represented as str objects, which are immutable: this means that objects represented in memory cannot be changed directly. These two facts can help you learn (and then remember) how to use split().Have you guessed how these two characteristics of strings relate to the splitting function in Python? If you guess ...

Added by MrNonchalant on Wed, 12 Jan 2022 22:09:31 +0200

One click AI coloring, black and white old photos, the picture is instantly fresh

Many old photos or movies are limited by the technology of the times and can only be saved in black and white; The edited black-and-white videos and pictures have long lost the original color pictures, which is a great pity for the savers. How can we turn a single boring and old mottled black-and-white photo into a fresh and bright color photo, ...

Added by tomhoad on Wed, 12 Jan 2022 11:52:44 +0200

Multivariate time series prediction using LSTM

In this paper, we will use the deep learning method (LSTM) to perform multivariate time series prediction.Let's start with two topics——What is time series analysis?What is LSTM?Time series analysis: time series represent a series of data based on time sequence. It can be seconds, minutes, hours, days, weeks, months and years. Future ...

Added by duckduckgoose on Tue, 11 Jan 2022 04:57:06 +0200

Using PaddlePaddle to achieve table tennis timing action positioning open source plan

Project address https://aistudio.baidu.com/aistudio/projectdetail/3389378?contributionType=1 The project can fork run with one key. Introduction to competition questions In many large-scale video analysis scenarios, locating and identifying human actions in a short time from lengthy and untrimmed videos has become a subject of great concern ...

Added by bealers on Tue, 11 Jan 2022 04:26:58 +0200

SlowFast - getting started 1 - action recognition - deployment and testing

SlowFast - deployment and testing brief introduction GitHub: https://github.com/facebookresearch/SlowFast The official operation example diagram is like this. The features are: the recognized action is atomic action; Each person may be recognized multiple actions at the same time. Installation deployment Deployment platform: Polar cha ...

Added by hey_suburbia on Mon, 10 Jan 2022 20:38:24 +0200

R language logistic regression, random forest, SVM support vector machine to predict Framingham heart disease risk and model diagnosis visualization

Original link: http://tecdat.cn/?p=24973 brief introductionThe World Health Organization estimates that 12 million people worldwide die of heart disease every year. In the United States and other developed countries, half of the deaths are due to cardiovascular disease. The early prognosis of cardiovascular disease can help decide to change the ...

Added by xjasonx on Mon, 10 Jan 2022 10:36:10 +0200

[TensorFlow] TensorFlow 2 basic operation demonstration

1. Tensor data type TensorFlow is not so mysterious. In order to adapt to automatic derivation and GPU operation, it came into being. In order to fit with the core data type ndarray of numpy, the core data type is Tensor, which means Tensor in Chinese (generally, it is mathematically divided into scalar, one-dimensional vector and two-dime ...

Added by hessodreamy on Sun, 09 Jan 2022 17:30:52 +0200

Emotion analysis report of e-commerce product review data based on python text mining

background In recent years, with the wide application of the Internet and the rapid development of e-commerce, the significance of network text and user comment analysis has become increasingly prominent. Therefore, network text mining and network text emotion analysis technology came into being. Through the emotional analysis of text or user ...

Added by jahwobbler on Sun, 09 Jan 2022 08:49:35 +0200