Python Anna Karenina word cloud map production
DataFrame() Generates the DataFrame object pandas.DataFrame. Groupby () Group statistics Group statistics instance pandas.DataFrame.groupby...
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Tag: Data mining
Kalman filter: Modeling time series with KFAS in R language
December 23, 2023
by 陳志豪
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For time series prediction, traditional models such as ARIMA are often a popular choice. While these models can prove to have a high degree of...
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Latent Semantic Analysis of R Language Text Topic Model (LDA:Latent Dirichlet Allocation)
December 23, 2023
by 梁淑慧
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Keywords - Use a search engine and enter links to words related to what we are looking for. Linked pages may share similar or related...
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Use cross validation in Python and R to improve model performance
December 23, 2023
by Dr. Carol Jones
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In this article, we will explore possible causes. We'll also examine the concept of cross-validation and some common ways to perform it. Here we try...
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R language uses the LOESS(local weighted regression) seasonal trend decomposition (STL) to detect anomalies in time series
December 23, 2023
by Aaryahi Keer
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This paper describes an approach to modeling midpoints of time series involving seasonal and trend components. We will investigate an algorithm called STL, which stands...
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R language Stan carries out regression model based on Bayesian inference
December 23, 2023
by Sonya Reynolds
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You can run Stan from a number of statistical packages. So far, I've been running Stan from R. The first step is to file the...
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[Big Data Tribe] R language e-commerce website crawler
December 23, 2023
by 李雅玲
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Due to the real-time requirements of e-commerce website data, data analysis is generally directly from the web page. Therefore, the method of using crawler is...
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[Big Data Tribe] Using R language to mine and cluster website comment text
December 22, 2023
by Alex Hussain
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For unstructured Chinese comment information of websites, R's Chinese word frequency package may be a good tool to mine its potential information. To analyze text...
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Super easy to use at home and abroad online free SMS receiving platform
December 22, 2023
by 賴俊賢
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In modern society, most people tend to forget their passwords. Therefore, in order to be convenient, various websites or apps have appeared to register and...
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[Big Data Tribe] Mining Twitter data with R language
December 22, 2023
by Cynthia Smith
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Twitter is a popular social network, and there's a ton of data waiting to be analyzed. The Twitter R package is a great tool for...
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Rio side tecdat | R language to optimize the trading system: with parallel coordinate graph visualization system parameter optimization results
December 22, 2023
by Darshit Sem
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There is a good example of htmlWidgets in an interactive parallel coordinate graph. You can interactively manipulate parallel coordinates to magnify interesting observations. Not long...
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Python and Keras are used for principal component analysis and neural network construction for image reconstruction
December 22, 2023
by Roy Hughes
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This is not a problem for individual users. However, imagine processing thousands, if not millions, of requests simultaneously with big data. These data streams must...
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Capital Asset Pricing Model based on Linear Regression in R Language
December 22, 2023
by Angela McKay
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The Capital Asset Pricing Model (CAPM) is used to determine whether an investment in a particular asset is worthwhile. In essence, the question is: "Are...
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GAM (generalized additive model) is used to analyze power load time series in R language
December 22, 2023
by Patricia Russell
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I have prepared a file containing four time series of electricity consumption for analysis. Data manipulation will be done by the data.table package. Read the...
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Titanic Survival Prediction (revised)
December 21, 2023
by Emily Harris-Stubbs
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Titanic is a very classical data analysis project. Due to its small amount of data, the data set data structure is relatively perfect, which is...
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CNN (convolutional Neural network) model and R language implementation
December 21, 2023
by Kayla Long
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Driverless cars date back to 1989. Neural networks have been around for a long time, so what has sparked the boom in AI and deep...
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R language NLP case: LDA topic text mining coupon recommendation site data
December 21, 2023
by Renee Rose
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Groupon is a coupon recommendation service that allows you to sign up for free, and Groupon sends you daily emails containing that day's deals in...
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Python for NLP natural language processing: Using the Facebook FastText library
December 21, 2023
by Sarah Carter
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In this article, we'll examine FastText, another extremely useful module for word embedding and text categorization. In this article, we'll briefly explore the FastText library....
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The R language uses bootstrap and increment methods to calculate the confidence interval of generalized linear model (GLM) prediction
December 21, 2023
by 王惠如
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Consider a simple Poisson regression. Given the sample, where the objective is derived for a 95% confidence interval given, where is the prediction. + newdata...
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R language random search variable selection SSVS estimation Bayesian vector autoregression (BVAR) model
December 21, 2023
by Lauren Johnson
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The general disadvantage of vector autoregression (VAR) models is that the number of estimated coefficients increases proportionately to the number of lags. Therefore, as the...
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The LSTM recursive neural network of Keras in Python is used for time series prediction
December 20, 2023
by Brent Cook-McMahon
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Time series prediction is a kind of difficult problem in prediction modeling. Different from regression prediction modeling, time series also increases the complexity of sequence...
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Python for NLP: Classification using Keras’s multi-label text LSTM neural Network
December 20, 2023
by Rebecca Wood
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In this article, we'll see how to develop a text classification model with multiple outputs. We develop a text classification model that analyzes a text...
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“Hello World “for Neural Networks — An Introduction to Keras
December 20, 2023
by Yashvi Tella
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Today we are going to walk into Keras. Keras is a high-level neural network library that contains a lot of things, encapsulates an API similar...
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Python Pivottables and heat maps track the industry hot plate switch
December 20, 2023
by Charles Ellis
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Quantitative trading is an emerging systematic financial investment method. It integrates the knowledge of multiple disciplines, uses advanced mathematical models to replace human subjective thinking...
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ADAMoracle will build a leader in the world of prognoticators for the long term
December 20, 2023
by Mrs. Sylvia Day
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ADAMoracle will build a leader in the field of prognostics and make its long-term survival prognostics is a product with a wide range of application...
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Small fry powder quantitative remember | build localized stock quantitative database so a few is enough
December 19, 2023
by Edward Copeland
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Quantitative trading is an emerging systematic financial investment method. It integrates the knowledge of multiple disciplines, uses advanced mathematical models to replace human subjective thinking...
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Mapping in ElasticSearch
December 18, 2023
by 李俊賢
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Schema Mapping in ElasticSearch is the process of defining document types and fields to store and index. Remember that mapping is a dynamic process. Each...
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Nodejs implements apriori algorithm
December 17, 2023
by 羅雅萍
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Apriori algorithm is the first lesson of frequent pattern mining in data mining. It's the most basic algorithm. The Apriori algorithm on the Internet is...
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R language economics: Dynamic Model averaging (DMA), Dynamic Model selection (DMS) to predict crude oil price time series
December 17, 2023
by Purab Datta
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This paper provides an economic case. Focus on the oil market as an example. Briefly provides arguments for the use of model averaging and Bayesian...
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R language is used for polynomial regression and nonlinear regression model curve fitting
December 17, 2023
by Taimur Chandra
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For a linear relationship, we can do a simple linear regression. For other relationships, we can try to fit a curve. Curve fitting is the...
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