Caught By The Villain

Villain league

villain Deku

#A-Girl-by-the-Sea:'v

who hates deku, of you do I'm breaking your neck(me and villain deku be like😍🥰😘)

algun traductor que pueda seguir con "My Girlfriend is a Villain" tenfria mi agradecimiento

who is your favorite vtuber





credit art:
uruha by [9GAG] in pinterest
Pekora usada by [@Sco-ttie] on Twitter
inui toko by [viet]on Twitter
inugami korone by [the arts] in pinterest
amatsuka uto by [deyui] in pixiv
Amelia watson by [chaChya] on Twitter
gawr gura by [zedge] on web
Ceres fauna by [asagi-0398] on Twitter

What is .875 as a fraction in mathematics?

Do you also want to know the answer to the question of what is .875 as a fraction in mathematics? If yes! Then you are at the right place. Because here we are going to discuss the same in complete steps.

The answer of 0.875 as a fraction is 7 by 8.

Here are the complete steps for solving it:

= 0.875 as fraction
= 0.875 by 1
= 875 by 1000
= 7 by 8

This is known to be one of the easiest ways of solving 0.875 as a fraction.

URL - https://sports-passion.net/875-as-a-fraction/

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/

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#HUMAN-SYSTEMThis is not Human Systems as stated, but a short story by the same author known as Akai Ito or Red String

#BOKU-NO-NEESANfirst! now that I think about it what the heck am I doing i should be preparing lunch by now instead of reading

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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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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#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

In free credit, banks have autonomy to lend the money collected in the market and to set the interest rates they charge customers. Directed credit, which has rules established by the government, is mainly for the housing, rural, infrastructure, and microcredit sectors.
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