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miarose7878
Oct 20, 2022
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2plus2four
Feb 08, 2023
|
What is 1.8 as a fraction?
The numeric value 1.8 as a fraction can be very easily solved.
Here is the solution:
= 1.8 as the fraction
= 1.8 by 1
= 18 by 10
= 9 by 5
Solving any numeric value to a fraction involves only 3 steps:
Step: 1 add 1 in the denominator along with similar no. of zeroes as the no. of digits present in numerator after decimal point.
Step: 2 divide the numbers with the same table
Step: 3 make the numerator and denominator to the simplest form.
The last number will be the answer.
URL - https://2plus2four.net/1-8-as-a-fraction/
The numeric value 1.8 as a fraction can be very easily solved.
Here is the solution:
= 1.8 as the fraction
= 1.8 by 1
= 18 by 10
= 9 by 5
Solving any numeric value to a fraction involves only 3 steps:
Step: 1 add 1 in the denominator along with similar no. of zeroes as the no. of digits present in numerator after decimal point.
Step: 2 divide the numbers with the same table
Step: 3 make the numerator and denominator to the simplest form.
The last number will be the answer.
URL - https://2plus2four.net/1-8-as-a-fraction/
🍓 AniPop !
Jun 04, 2021
|
Kanojo mo Kanojo !
( Girlfriend, girlfriend ! )
Girlfriend, Girlfriend (Japanese: カノジョも彼女, Hepburn: Kanojo mo Kanojo, "She is the Girlfriend too") is a Japanese romantic comedy manga series written and illustrated by Hiroyuki. It began serialization in Kodansha's Weekly Shōnen Magazine in March 2020, and has been compiled into five tankōbon volumes as of April 2021. An anime television series adaptation by Tezuka Productions will premiere in July 2021 on the Animeism programming block.
Genre; Romance/Comedy
Manga;
Written by; Hiroyuki
Published by; Kodansha
English publisher; NA Kodansha USA (digital)
Magazine;Weekly Shōnen Magazine
Demographic; Shōnen
Original run; March 4, 2020 – present
Volumes; 6 (List of volumes)
Anime television series
Directed by; Satoshi Kuwabara
Written by; Keiichirō Ōchi
Music by; Miki Sakurai Tatsuhiko Saiki
Studio; Tezuka Productions
Original network; JNN (MBS, TBS, BS-TBS), AT-X
Original run; July 3, 2021 – scheduled
Naoya Mukai (向井 直也, Mukai Naoya)
Voiced by: Junya Enoki[2] (anime)
Saki's childhood friend. He confessed to her every month until she accepted, but also agrees to take Nagisa as a girlfriend as well as he found her to be cute.
Saki Saki (佐木 咲, Saki Saki)
Voiced by: Ayana Taketatsu[3] (PV), Ayane Sakura[2] (anime)
Naoya's childhood friend and his initial girlfriend. She shares a first and last name as her parents thought such a name would be cute. She has a complex about her small chest, especially when compared to Nagisa.Nagisa Minase
(水瀬 渚, Minase Nagisa)
Voiced by: Ayane Sakura[3] (PV), Azumi Waki[2] (anime)
A classmate of Naoya, who becomes his second girlfriend after confessing to him. She fell in love with Naoya as he inspired her to pursue skills that she was good at.
Rika Hoshizaki (星崎 理香, Hoshizaki Rika)
Voiced by: Ayana Taketatsu[2] (anime)
A schoolmate of Naoya. She is secretly a popular vlogger who goes by the online alias Mirika (ミリカ). She intends to become Naoya's third girlfriend, going as far as stalking him and his girlfriends, as well as camping outside his house to get his attention.
Shino Kiryū (桐生 紫乃, Kiryū Shino)
Voiced by: Rie Takahashi[2] (anime)
Saki's best friend and classmate. She discovers Naoya's romantic arrangement with Saki and Nagisa and she disapproves of it. It is later discovered that she has feelings for Naoya as well.
Risa Hoshizaki (星崎 理沙, Hoshizaki Risa)Rika's younger sister.
( MBS listed the series premiere at 26:25 on July 2, 2021, which is July 3 at 2:25 a.m. )
( Girlfriend, girlfriend ! )
Girlfriend, Girlfriend (Japanese: カノジョも彼女, Hepburn: Kanojo mo Kanojo, "She is the Girlfriend too") is a Japanese romantic comedy manga series written and illustrated by Hiroyuki. It began serialization in Kodansha's Weekly Shōnen Magazine in March 2020, and has been compiled into five tankōbon volumes as of April 2021. An anime television series adaptation by Tezuka Productions will premiere in July 2021 on the Animeism programming block.
Genre; Romance/Comedy
Manga;
Written by; Hiroyuki
Published by; Kodansha
English publisher; NA Kodansha USA (digital)
Magazine;Weekly Shōnen Magazine
Demographic; Shōnen
Original run; March 4, 2020 – present
Volumes; 6 (List of volumes)
Anime television series
Directed by; Satoshi Kuwabara
Written by; Keiichirō Ōchi
Music by; Miki Sakurai Tatsuhiko Saiki
Studio; Tezuka Productions
Original network; JNN (MBS, TBS, BS-TBS), AT-X
Original run; July 3, 2021 – scheduled
Naoya Mukai (向井 直也, Mukai Naoya)
Voiced by: Junya Enoki[2] (anime)
Saki's childhood friend. He confessed to her every month until she accepted, but also agrees to take Nagisa as a girlfriend as well as he found her to be cute.
Saki Saki (佐木 咲, Saki Saki)
Voiced by: Ayana Taketatsu[3] (PV), Ayane Sakura[2] (anime)
Naoya's childhood friend and his initial girlfriend. She shares a first and last name as her parents thought such a name would be cute. She has a complex about her small chest, especially when compared to Nagisa.Nagisa Minase
(水瀬 渚, Minase Nagisa)
Voiced by: Ayane Sakura[3] (PV), Azumi Waki[2] (anime)
A classmate of Naoya, who becomes his second girlfriend after confessing to him. She fell in love with Naoya as he inspired her to pursue skills that she was good at.
Rika Hoshizaki (星崎 理香, Hoshizaki Rika)
Voiced by: Ayana Taketatsu[2] (anime)
A schoolmate of Naoya. She is secretly a popular vlogger who goes by the online alias Mirika (ミリカ). She intends to become Naoya's third girlfriend, going as far as stalking him and his girlfriends, as well as camping outside his house to get his attention.
Shino Kiryū (桐生 紫乃, Kiryū Shino)
Voiced by: Rie Takahashi[2] (anime)
Saki's best friend and classmate. She discovers Naoya's romantic arrangement with Saki and Nagisa and she disapproves of it. It is later discovered that she has feelings for Naoya as well.
Risa Hoshizaki (星崎 理沙, Hoshizaki Risa)Rika's younger sister.
( MBS listed the series premiere at 26:25 on July 2, 2021, which is July 3 at 2:25 a.m. )
Outdoor Blogger
Nov 02, 2022
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Most products on the market are made of nylon or polyester fabric. Their thickness and durability are usually measured by the coating fabric.
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Feb 03, 2023
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sarawilson
Aug 03, 2021
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This blog post will explain what custom bath bomb boxes are all about, as well as 5 tips for businesses looking to take their beauty game to the next level by using these unique marketing tools.
INHØK🕷️
Jan 06, 2021
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╭────────────────● ●──╮
。𝐒 𝐎 𝐂 𝐈 𝐀 𝐋 𝐒 💻
╭─────•✧⋆✧•──────╮
Para mas imágenes o Información.
Instagram: @Shen_Jijionny
Youtube: Canal Principal : -` Najeon sweet ;;
Youtube: Canal Secundario: LeeRin & Onny
Tiktok: @Najeonsweet_tuidol
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୨୧ Imágenes cutie:
by: Onny
▞▞▞▞▞▞▞▞▞▞▞▞▞▞▞▞▞▞▞▞
。𝐒 𝐎 𝐂 𝐈 𝐀 𝐋 𝐒 💻
╭─────•✧⋆✧•──────╮
Para mas imágenes o Información.
Instagram: @Shen_Jijionny
Youtube: Canal Principal : -` Najeon sweet ;;
Youtube: Canal Secundario: LeeRin & Onny
Tiktok: @Najeonsweet_tuidol
Ժ╴ ╴ ╴ ╴ ╴ ╴ ╴ ╴ ╴ ╴ ╴ ╴ ╴ ╴
୨୧ Imágenes cutie:
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Natalie charles
May 04, 2021
|
OK so I'm going to be posting the full yaoi manga starting from today. Sorry I didn't post anything at all before 😩but I'll make it up by posting today 😁thank y for understanding
soy un queso
Aug 14, 2018
|
#A-Girl-by-the-Seano entiendo si el chico la dejo por que iría a la carcel o por lo que explico, pero saben? las mujeres podemos ser muy crueles y caprichosas como otsu
•AlexTheHedgehogLoveAnime•
Jan 11, 2021
|
✨🌸If my OC. Alex. Was an Anime Girl!!🌸✨
✨🌸🌸 💖😊💖
✨✨✨🌸🌸
💐Made: by meh. XD💐
UwU
💖App Used: Color. PicsArt,💖
Friends: @Lilly 💮 @anime2.219 @Anime.sky.723 •ÜwÜ• 💕✨💕✨💕
🌸✨🌸✨🌸✨🌸✨🌸✨🌸✨🌸
(And Don't forget to Follow, Like, And Comment!! •^v^•)
✨🌸🌸 💖😊💖
✨✨✨🌸🌸
💐Made: by meh. XD💐
UwU
💖App Used: Color. PicsArt,💖
Friends: @Lilly 💮 @anime2.219 @Anime.sky.723 •ÜwÜ• 💕✨💕✨💕
🌸✨🌸✨🌸✨🌸✨🌸✨🌸✨🌸
(And Don't forget to Follow, Like, And Comment!! •^v^•)
kelvin tavares
Aug 17, 2018
|
#GIRLS-OF-THE-WILD-SDoes anyone know if there is gonna be a ss2 of it because I think there judging by the second-last chapter looks like it
acugrounding
Mar 13, 2023
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Get Relief from Stress in your Body by Using a Self-Massage Tool
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PorcoTop
Jun 26, 2019
|
Publicado em 14 de Março de 2019
Provided to Youtube by Watertower Music
Bloody Stream•Coda
Bloody Stream
2012 Warner Bros. Entertainment Inc.
All Right reserved.
Writer:Saori Kodama
Writer:Toshiyuki Omori
Provided to Youtube by Watertower Music
Bloody Stream•Coda
Bloody Stream
2012 Warner Bros. Entertainment Inc.
All Right reserved.
Writer:Saori Kodama
Writer:Toshiyuki Omori
𝑵𝒐𝒐𝒏𝒂; ❁
Aug 22, 2018
|
#NO-PUEDO-APARTAR-LA-MIRADA-DE-TI-MY PRECIOUS WOOYEON WILL BE TORTURED BY THAT F*CKING BITCH AAAAAAAAAAAAAAAA
PLEASE DO SOMETHING FOR MY PRECIOUS BABY?!?!??!;!?!?!?!?!?!?!?
HE JUST DESERVES LOVE AAAAAAAAAAA.
PLEASE DO SOMETHING FOR MY PRECIOUS BABY?!?!??!;!?!?!?!?!?!?!?
HE JUST DESERVES LOVE AAAAAAAAAAA.
Komal Das
Mar 06, 2023
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andersondavid01
Feb 03, 2023
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praveenskillslash
Apr 12, 2023
|
As technology advances, universities and colleges around the world are finding new ways to use technology to improve the student experience. One such way is the use of chatbots powered by data science to help students with their inquiries. These chatbots can provide instant assistance to students and save time and resources for the college staff. In this article, we will explore the benefits of using a college enquiry chatbot powered by data science.
A college enquiry chatbot is an AI-powered chatbot that can provide students with instant answers to their inquiries about courses, admissions, fees, scholarships, and more. The chatbot uses natural language processing (NLP) and machine learning (ML) algorithms to understand and respond to student inquiries. These chatbots can also collect data on the types of inquiries and questions asked by students, which can be used to improve the services provided by the college.
One of the main benefits of using a college enquiry chatbot is the 24/7 availability it provides. Students can access the chatbot at any time of the day or night, without having to wait for a staff member to be available. This can be particularly useful for students who are located in different time zones or who have busy schedules that prevent them from making phone calls or visiting the college in person.
Another benefit of using a college enquiry chatbot is the speed at which it can provide answers. With the use of NLP and ML algorithms, the chatbot can understand the context of the student's inquiry and provide a relevant response within seconds. This can save students a lot of time and frustration compared to waiting on hold on the phone or sending an email and waiting for a response.
Data science plays a crucial role in the development and optimization of a college enquiry chatbot. The chatbot can be trained using historical data on the types of inquiries and questions asked by students. This data can be used to develop and refine the NLP and ML algorithms used by the chatbot to ensure accurate and relevant responses. As more data is collected, the chatbot can be further optimized to improve its accuracy and effectiveness.
One example of how data science can be used to optimize a college enquiry chatbot is through sentiment analysis. Sentiment analysis involves using ML algorithms to analyze the tone and emotion of a message. By analyzing the sentiment of the messages sent to the chatbot, the college can gain insights into the overall satisfaction of students with their experience. This information can then be used to identify areas for improvement in the services provided by the college.
Another example of how data science can be used in a college enquiry chatbot is through personalized recommendations. By analyzing the historical data on the types of inquiries and questions asked by students, the chatbot can provide personalized recommendations to students based on their previous interactions with the chatbot. This can help students find the information they need more quickly and easily.
In addition to improving the student experience, a college enquiry chatbot can also save time and resources for the college staff. By automating the process of answering common inquiries, staff members can focus on more complex tasks and provide better service to students who require additional assistance.
Overall, a college enquiry chatbot powered by data science can provide many benefits to students and staff alike. With its 24/7 availability, fast response times, and personalized recommendations, the chatbot can improve the student experience and save time and resources for the college staff. As data science continues to advance, we can expect to see even more innovative ways in which chatbots can be used to improve education and student services.
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A college enquiry chatbot is an AI-powered chatbot that can provide students with instant answers to their inquiries about courses, admissions, fees, scholarships, and more. The chatbot uses natural language processing (NLP) and machine learning (ML) algorithms to understand and respond to student inquiries. These chatbots can also collect data on the types of inquiries and questions asked by students, which can be used to improve the services provided by the college.
One of the main benefits of using a college enquiry chatbot is the 24/7 availability it provides. Students can access the chatbot at any time of the day or night, without having to wait for a staff member to be available. This can be particularly useful for students who are located in different time zones or who have busy schedules that prevent them from making phone calls or visiting the college in person.
Another benefit of using a college enquiry chatbot is the speed at which it can provide answers. With the use of NLP and ML algorithms, the chatbot can understand the context of the student's inquiry and provide a relevant response within seconds. This can save students a lot of time and frustration compared to waiting on hold on the phone or sending an email and waiting for a response.
Data science plays a crucial role in the development and optimization of a college enquiry chatbot. The chatbot can be trained using historical data on the types of inquiries and questions asked by students. This data can be used to develop and refine the NLP and ML algorithms used by the chatbot to ensure accurate and relevant responses. As more data is collected, the chatbot can be further optimized to improve its accuracy and effectiveness.
One example of how data science can be used to optimize a college enquiry chatbot is through sentiment analysis. Sentiment analysis involves using ML algorithms to analyze the tone and emotion of a message. By analyzing the sentiment of the messages sent to the chatbot, the college can gain insights into the overall satisfaction of students with their experience. This information can then be used to identify areas for improvement in the services provided by the college.
Another example of how data science can be used in a college enquiry chatbot is through personalized recommendations. By analyzing the historical data on the types of inquiries and questions asked by students, the chatbot can provide personalized recommendations to students based on their previous interactions with the chatbot. This can help students find the information they need more quickly and easily.
In addition to improving the student experience, a college enquiry chatbot can also save time and resources for the college staff. By automating the process of answering common inquiries, staff members can focus on more complex tasks and provide better service to students who require additional assistance.
Overall, a college enquiry chatbot powered by data science can provide many benefits to students and staff alike. With its 24/7 availability, fast response times, and personalized recommendations, the chatbot can improve the student experience and save time and resources for the college staff. As data science continues to advance, we can expect to see even more innovative ways in which chatbots can be used to improve education and student services.
Join Us:
Data science course in Bangalore
Data science course in Hyderabad
Data analytics course in Hyderabad
Full stack developer course in Mumbai
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