投稿時間:2023-02-08 20:18:26 RSSフィード2023-02-08 20:00 分まとめ(23件)

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AWS lambdaタグが付けられた新着投稿 - Qiita エンジニアインターン13日目 https://qiita.com/a27879038/items/ad694b1bdc875af32c5c lambda 2023-02-08 19:03:07
python Pythonタグが付けられた新着投稿 - Qiita Common Lisp 自作関数・マクロ紹介 https://qiita.com/laughingmanbtc/items/a3401c7c50b5e4f28087 defplotplotdataplotlist 2023-02-08 19:37:13
python Pythonタグが付けられた新着投稿 - Qiita エンジニアインターン13日目 https://qiita.com/a27879038/items/ad694b1bdc875af32c5c lambda 2023-02-08 19:03:07
js JavaScriptタグが付けられた新着投稿 - Qiita json-server tips https://qiita.com/t0riumi/items/45de4dc4c588e468b4bf express 2023-02-08 19:00:59
AWS AWSタグが付けられた新着投稿 - Qiita エンジニアインターン13日目 https://qiita.com/a27879038/items/ad694b1bdc875af32c5c lambda 2023-02-08 19:03:07
AWS AWSタグが付けられた新着投稿 - Qiita AWS CodePipeline - aws ecr get-login-password ... docker login が失敗する ( pre_build ) https://qiita.com/YumaInaura/items/24d1bc276b327873d1cc commandsechologgingintoam 2023-02-08 19:02:28
Docker dockerタグが付けられた新着投稿 - Qiita AWS CodePipeline - aws ecr get-login-password ... docker login が失敗する ( pre_build ) https://qiita.com/YumaInaura/items/24d1bc276b327873d1cc commandsechologgingintoam 2023-02-08 19:02:28
技術ブログ Developers.IO [アップデート] Amazon PollyおよびAmazon Connectに新しい日本語の音声「Kazuha」「Tomoko」が追加されました https://dev.classmethod.jp/articles/amazon-polly-new-japanese-voices/ amazon 2023-02-08 10:21:13
技術ブログ Developers.IO 【Security Hub修復手順】[EC2.6] すべての VPC で VPC フローログ記録を有効にする必要があります https://dev.classmethod.jp/articles/securityhub-fsbp-remediation-ec2-6/ awssecurityhub 2023-02-08 10:04:31
海外TECH DEV Community Sentiment Analysis of Twitter Data using Naive Bayes Algorithm https://dev.to/anurag629/sentiment-analysis-of-twitter-data-using-naive-bayes-algorithm-2b1f Sentiment Analysis of Twitter Data using Naive Bayes Algorithm Importing the necessary libraries import pandas as pdimport refrom nltk corpus import stopwordsfrom sklearn feature extraction text import CountVectorizerimport tensorflow as tffrom sklearn model selection import train test splitfrom sklearn naive bayes import MultinomialNBfrom tensorflow import kerasimport matplotlib pyplot as pltHere the code imports the necessary libraries for reading the dataset preprocessing the data training and evaluating the model and plotting the results Reading the dataset train pd read csv kaggle input fall micro course wv dv train csv test pd read csv kaggle input fall micro course wv dv test csv The code reads the train and test datasets using the pandas library and stores them in the variables train and test train head idlabeltweettoday s mood 😍 fashion outfitoftheday todays playlist spotifybest essentialoils for weightloss altwa i believe luis worked at user mlc🌴use the power of your mind to heal your body Preprocessing the data import reimport nltknltk download stopwords from nltk corpus import stopwordsdef clean tweet tweet Remove HTML tags and special characters tweet re sub r lt gt amp a z tweet Remove URLs and hashtags tweet re sub r https S S tweet Tokenize the text tokens nltk word tokenize tweet Remove stop words and words that are not in the desired language tokens token for token in tokens if token lower not in stopwords words english Remove special characters and punctuation tokens re sub r w s token for token in tokens Convert words to lowercase tokens token lower for token in tokens tokens token for token in tokens if len token gt return join tokens Example usage tweet I had a terrible experience at the restaurant last night The service was slow and the food was overcooked clean tweet tweet Output terrible experience restaurant last night service slow food overcooked nltk data Downloading package stopwords to usr share nltk data nltk data Package stopwords is already up to date The clean tweet function is used to preprocess the data It removes HTML tags special characters URLs hashtags and stop words The preprocessed tweets are then stored back in the train dataset using the apply function Converting the tweets to a matrix of token counts The vectorizer object from CountVectorizer is used to convert the list of tweets into a matrix of token counts A token count is a way of representing the frequency of each word in the tweet The vectorizer object is fit using the fit transform method which performs two operations at once it fits the vectorizer to the data and then transforms the data into the token count matrix The result is stored in a variable called X Create a list of the tweetstweets train tweet tolist Create a list of the labelslabels train label tolist Convert the tweets to a matrix of token countsvectorizer CountVectorizer X vectorizer fit transform tweets Split the data into training and testing sets To evaluate the accuracy of the model we need to split the data into training and testing sets This is done using the train test split function from the sklearn model selection module The train test split function takes four arguments the features the labels the size of the test set and the random state which is used to ensure that the same split is produced every time the code is run The result of train test split is four variables X train X test y train and y test X train and y train are the features and labels for the training set and X test and y test are the features and labels for the testing set X train X test y train y test train test split X labels test size Train the model A Multinomial Naive Bayes model is created and fit to the training data using the fit method The model is stored in a variable called model model MultinomialNB model fit X train y train MultinomialNB Evaluate the model The accuracy of the model is evaluated using the score method on the model object and passing in the testing data The accuracy is stored in a variable called accuracy and printed to the console accuracy model score X test y test print Accuracy accuracy Accuracy End 2023-02-08 10:38:58
海外TECH Engadget Virgin Orbit's first UK orbital launch may have failed due to a $100 component https://www.engadget.com/virgin-orbit-first-uk-orbital-launch-failed-100-dollar-component-103511986.html?src=rss Virgin Orbit x s first UK orbital launch may have failed due to a componentVirgin Orbit s first orbital launch from UK soil which was supposed to be a huge milestone for the company and for the region may have ended in failure because of a component that cost around According to SpaceNews Virgin Orbit CEO Dan Hart has revealed at the SmallSat Symposium in Mountain View California that the evidence so far points to a filter in the rocket s second stage engine getting dislodged and causing issues If you ll recall the company launched its historic quot Start Me Up quot mission from Spaceport Cornwall on January th and things seemed to flow smoothly at first Virgin s LauncherOne rocket was able to detach from its carrier aircraft and the company reported a successful stage separation But soon it became clear that the rocket wasn t able to reach orbit as planned quot The rocket s upper stage experienced an anomaly quot a company spokesperson told Engadget at the time and that quot prematurely ended the first burn of the upper stage quot They added quot This event ended the mission with the rocket components and payload falling back to Earth within the approved safety corridor without ever achieving orbit quot nbsp The LauncherOne rocket for the mission was carrying satellites from seven customers including government entities One of its payloads was a joint project between the UK Defense Science and Technology Laboratory and the US Naval Research Laboratory called CIRCE Coordinated Ionospheric Reconstruction CubeSat Experiment Virgin Orbit promised to conduct a full investigation into the root cause of the anomaly but it didn t wait for results to come back before announcing that it was going to attempt another UK launch as soon as later this year nbsp The company isn t done with its investigation Hart said during the event but he was confident enough to reveal the investigators findings quot Everything points to right now a filter that was clearly there when we assembled the rocket but was not there as the second stage engine started meaning it was dislodged and caused mischief downstream quot he said quot This is like a part that took us out quot Hart also said that Virgin Orbit is no longer going to use that filter and that it s currently looking for potential fixes nbsp 2023-02-08 10:35:11
海外TECH CodeProject Latest Articles C#11 – Records demystified https://www.codeproject.com/Articles/5354140/Csharp11-Records-demystified records 2023-02-08 10:49:00
海外科学 BBC News - Science & Environment Quantum breakthrough could revolutionise computing https://www.bbc.co.uk/news/science-environment-64492456?at_medium=RSS&at_campaign=KARANGA record 2023-02-08 10:21:04
医療系 医療介護 CBnews 誤発注で薬剤取り違え、正しいと思い込み調剤-医療機能評価機構が事例公表 https://www.cbnews.jp/news/entry/20230208192336 取り違え 2023-02-08 19:40:00
医療系 医療介護 CBnews 介護の申請・届け出、24年4月から原則電子化へ-報酬請求などは標準様式で https://www.cbnews.jp/news/entry/20230208190045 介護保険法 2023-02-08 19:10:00
金融 金融庁ホームページ 入札公告等を更新しました。 https://www.fsa.go.jp/choutatu/choutatu_j/nyusatu_menu.html 公告 2023-02-08 11:00:00
ニュース BBC News - Home LeBron James breaks NBA all-time scoring record https://www.bbc.co.uk/sport/basketball/64563131?at_medium=RSS&at_campaign=KARANGA record 2023-02-08 10:22:05
ニュース BBC News - Home Northern Ireland Protocol is lawful, Supreme Court rules https://www.bbc.co.uk/news/uk-northern-ireland-64558530?at_medium=RSS&at_campaign=KARANGA court 2023-02-08 10:51:54
ニュース BBC News - Home 'Potentially the biggest financial scandal in Premier League history' - Man City Q&A https://www.bbc.co.uk/sport/football/64554257?at_medium=RSS&at_campaign=KARANGA x Potentially the biggest financial scandal in Premier League history x Man City Q amp ABBC Sport answers the key questions after Manchester City are charged by the Premier League with more than breaches of financial rules 2023-02-08 10:32:24
IT 週刊アスキー ダイドー、2023年春夏の新商品「ミウ おいしい水」&「ミウ レモン&オレンジ」を発売 https://weekly.ascii.jp/elem/000/004/124/4124025/ 年春 2023-02-08 19:50:00
IT 週刊アスキー DMM GAME、「あやかしランブル!」にて「★5 滝夜叉姫」「★5 コントン」を追加! 「★5 本多忠勝」が手に入る逢魔襲来イベントも開催中 https://weekly.ascii.jp/elem/000/004/124/4124015/ dmmgame 2023-02-08 19:40:00
IT 週刊アスキー GMO、フリーランスのイメージについて調査 会社員・フリーランスともに多くが「夢がある」と回答 https://weekly.ascii.jp/elem/000/004/124/4124024/ freenancebygmo 2023-02-08 19:10:00
IT 週刊アスキー 24タイトルが最大81%オフ!Steamで「THQ Nordic早春セール」開催中 https://weekly.ascii.jp/elem/000/004/124/4124027/ steam 2023-02-08 19:05:00

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