Monday - Poll Time!

World time and date for cities in all time zones. International time right now. Takes into account all DST clock changes. Узнать точное время в городе Киев, время в стране Украина, точное время онлайн. Переход на зимнее время в городе Украина, переход на летнее время в Украина, GTM время Киев, GMT время Украина. Узнать время между городом ... Сервіс точного часу time.in.ua надає можливість синхронізації по протоколу NTP (Network Time Protocol) і SNTP (Simple Network Time Protocol) іншим серверам і комп'ютерам, які мають підключення до мережі Інтернет. Time.is displays exact, official atomic clock time for any time zone (more than 7 million locations) in 57 languages. Exact time now, time zone, time difference, sunrise/sunset time and key facts for Kyiv, Ukraine. Online Clock - exact time with seconds on the full screen. Night mode, analogue or digital view switch. Breaking news and analysis from TIME.com. Politics, world news, photos, video, tech reviews, health, science and entertainment news. Точное время. Время в городах и часовых поясах мира. Разница во времени между городами, странами, часовыми поясами. Информер времени для сайтов. Welcome to the world's top site for time, time zones, and astronomy. Organize your life with free online info and tools you can rely on. No sign-up needed. Current local time in Ukraine – Kyiv. Get Kyiv's weather and area codes, time zone and DST. Explore Kyiv's sunrise and sunset, moonrise and moonset.

2024.11.25 05:00 AutoModerator Monday - Poll Time!

How good do you think Rampart is currently? Sort by "Poll" flair to see past polls!
View Poll
submitted by AutoModerator to Rampartmains [link] [comments]


2024.11.25 05:00 Unfair-Store-9108 Pencil pro lagging while using note on ipad mini 7

Hi everyone, I received my Apple Pencil pro, love it, super happy. I use it mostly for journaling in notes and I have noticed that after a while the pencil is not as reactive than at the beginning of the session, usually, you write, it appears right away but after a few hours ( I realize it's hours, now) it takes a second to see what you wrote. Is that normal? Set up is iPad mini 7th gen updated to the latest iOS and Apple Pencil pro. Thanks!
submitted by Unfair-Store-9108 to ipadmini [link] [comments]


2024.11.25 05:00 Arni3 Was i charged more for the Spouse Visa?

On the government website, it states: £1,846 when applying from outside the UK. However, I was charged £1,957.25. Any way to contact them?
submitted by Arni3 to SpouseVisaUk [link] [comments]


2024.11.25 05:00 AutoModerator Weekly Feedback/Self Promotion Thread - November 25, 2024

Welcome to /phonk's Weekly Feedback/Self Promo Thread! This thread is for your own music for purposes of feedback and self promotion (obviously). Do not create a separate post for these types of links outside of this thread - if you do, **your post will be removed**. Please be helpful and friendly- we **recommend giving feedback on another's work before posting your own**. That way, we all win. Happy phonking.
submitted by AutoModerator to phonk [link] [comments]


2024.11.25 05:00 Ellaine1011 ON DUTY NOW @ E RODRIGUEZ QUEZON CITY 🫶

ON DUTY NOW @ E RODRIGUEZ QUEZON CITY 🫶 Open for walk in pin location PUZON BLDG
submitted by Ellaine1011 to MassageNearMe [link] [comments]


2024.11.25 05:00 blucymarie Does anyone know what this even is

Does anyone know what this even is I’m in the ICU currently and have been for 9 days. Next to the bed there is this container of what literally looks like breast milk or something rotten. There’s some running through a tube. It looks like it’s been here for a long time
I haven’t really thought to ask about it until now and it’s the middle of the night so I’m wondering if anyone has any idea why it’s here and why it hasn’t been removed?
submitted by blucymarie to nursing [link] [comments]


2024.11.25 05:00 AutoModerator Weekly Self-Promotion Thread

Welcome to the space to self-promote to your heart's content. If you're a teacher looking to attract students, a craftsman looking to sell their products, etc., this is the thread for you!
submitted by AutoModerator to Clarinet [link] [comments]


2024.11.25 05:00 StatisticianNo7125 PIQ Help!

I’ve been stuck on writing my PIQ on #7. I have a solid idea on what to write about but I’m struggling to write about it! Can anyone help me? (Ideas… anything). I can send my outline
submitted by StatisticianNo7125 to college [link] [comments]


2024.11.25 05:00 No-Arm-2743 Google Play

submitted by No-Arm-2743 to stream2watch [link] [comments]


2024.11.25 05:00 Pavankumarofficial How Decision Trees Work: Building Blocks of Machine Learning

Decision Trees are one of the simplest yet most powerful tools in Machine Learning. They are widely used because they are easy to understand and can be applied to solve complex problems. This blog will walk you through what Decision Trees are, how they work, and why they’re so effective in Machine Learning.
What is a Decision Tree? A Decision Tree is like a flowchart or a tree-like diagram. It’s a series of questions and answers that help us make decisions. Imagine you're trying to decide whether to take an umbrella outside. You might ask: 1. Is it cloudy? - Yes → Check the weather forecast. - No → Don’t take an umbrella.
This step-by-step process is similar to how a Decision Tree works. In Machine Learning, Decision Trees are used to classify data into categories or predict outcomes.
Parts of a Decision Tree To understand Decision Trees better, let’s break them down into parts:

  1. Root Node: The starting point of the tree. It represents the first decision or question.
  2. Internal Nodes: These are the intermediate questions or decisions that help narrow down the possibilities.
  3. Branches: These represent the possible answers or outcomes of a question.
  4. Leaf Nodes: The final outcomes or decisions. These are the end points of the tree.
How Does a Decision Tree Work? A Decision Tree splits the data into smaller and smaller groups based on certain conditions. It follows these steps:
  1. Choose a Feature to Split On: The algorithm picks a feature (a characteristic or attribute of the data) to divide the data into groups. For example, if we’re trying to classify animals, a feature could be “Does it have wings?”
  2. Create Branches: Each answer to the feature’s question becomes a branch. For example:
    • Yes → Look at the next question: “Can it fly?”
    • No → Move to another question: “Does it have fur?”
  3. Repeat Until a Leaf Node is Reached: The process continues until the tree cannot split further or until every group is classified.
Example: Classifying Fruits Let’s classify fruits using a Decision Tree: - Root Node: Is the fruit round? - Yes → Does it have seeds? - Yes → It’s an orange. - No → It’s an apple. - No → Is it long and curved? - Yes → It’s a banana. - No → It’s a pineapple.
By following these steps, the Decision Tree classifies fruits based on their characteristics.
How Does a Decision Tree Choose Features? In Machine Learning, Decision Trees use a concept called Information Gain to decide which feature to split on.
  • Information Gain: It measures how well a feature separates the data.
  • The feature with the highest Information Gain is chosen for the split.
Think of it like this: the best question is the one that gives the most useful information.
Advantages of Decision Trees
  1. Easy to Understand: The tree structure is simple and intuitive.
  2. Handles Both Numerical and Categorical Data: Decision Trees work well with all types of data.
  3. No Need for Complex Data Preparation: Unlike some algorithms, Decision Trees don’t require scaling or normalization.
Disadvantages of Decision Trees
  1. Prone to Overfitting: If the tree is too deep, it can memorize the training data instead of generalizing.
  2. Bias Towards Certain Features: If some features dominate the data, they may overshadow others.
Real-World Applications of Decision Trees
  1. Healthcare: Diagnosing diseases by asking a series of symptom-related questions.
  2. Finance: Deciding whether to approve a loan application.
  3. Marketing: Predicting customer preferences.
Conclusion Decision Trees are an excellent introduction to Machine Learning because of their simplicity and effectiveness. They help us understand how algorithms can make logical decisions and are widely used in various fields.
By learning about Decision Trees, students can take their first step into the exciting world of Machine Learning. So, why wait? Start building your own Decision Trees and see the magic unfold!
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2024.11.25 05:00 tophiachuqueen Isn’t this the best combo!

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2024.11.25 05:00 gHostRiders_yokai What are some of your biggest critiques about the OCs? And what advice do you have to improve or fix those criticisms?

Hey peeps & tweets, I've been wanting to ask this question for a while now. Please don't call out anyone specifically. Also, be constructive with your advice and provide advice
submitted by gHostRiders_yokai to OriginalCharacter [link] [comments]


2024.11.25 05:00 AutoModerator What films have you recently watched? Weekly Discussion

Share and discuss what films you have recently watched, including, but not limited to films of the Criterion Collection and the Criterion Channel.
Come join our Discord and chat with the Criterion community! https://discord.gg/ZSbP4ZC
submitted by AutoModerator to criterion [link] [comments]


2024.11.25 05:00 GPT_2025 Pumpkin Pie

submitted by GPT_2025 to HappyCakeDay4You [link] [comments]


2024.11.25 05:00 dre10g Has anyone successfully run Project64 in Winlator?

I'm trying to run WWF Legends Challenge 64 in the Project64 emulator in Winlator (it's the only emulator where this works in). But when I run the exe, it just quickly flashes a dos prompt and goes back to explorer.
submitted by dre10g to EmulationOnAndroid [link] [comments]


2024.11.25 05:00 tirso3 Sofia Pablo

Sofia Pablo submitted by tirso3 to CelebsPH [link] [comments]


2024.11.25 05:00 Creepy-Strain-803 Interestingly, Richard Nixon had one of the best records of any President for Native relations, signing 52 legislative measures on behalf of Natives to support tribal self-rule. He also raised the BIA budget by 225%, doubled funds for Native healthcare, and started the office of Indian Water Rights.

Interestingly, Richard Nixon had one of the best records of any President for Native relations, signing 52 legislative measures on behalf of Natives to support tribal self-rule. He also raised the BIA budget by 225%, doubled funds for Native healthcare, and started the office of Indian Water Rights. submitted by Creepy-Strain-803 to IndianCountry [link] [comments]


2024.11.25 05:00 RPClips i've peaked by PENTA

i've peaked by PENTA submitted by RPClips to PurpleRP [link] [comments]


2024.11.25 05:00 kevint1964 True or not?

submitted by kevint1964 to steelers [link] [comments]


2024.11.25 05:00 AlertScreener The dollar dips 0.5% to 106.95 as Treasury Secretary pick Scott Bessent's appointment eases bond market concerns

But his support for strong dollar and tariffs may limit its pullback.
Follow @alertscreener for more submitted by AlertScreener to alertscreener [link] [comments]


2024.11.25 05:00 AutoModerator [Auto-Post] Weekly Question Thread! Ask /r/Aquariums anything you want to know about the hobby!

This is an auto-post for the weekly question thread.
Here you can ask questions for which you don't want to make a separate thread and it also aggregates the questions, so others can learn.
Please check/read the wiki before posting.
If you want to chat with people to ask questions, there is also the IRC chat for you to ask questions and get answers in real time! If you need help with it, you can always check the IRC wiki page.
For past threads, Click Here
submitted by AutoModerator to Aquariums [link] [comments]


2024.11.25 05:00 objectopeningOSC Can't even watch bfdi in ohio

submitted by objectopeningOSC to OnlyInOhioMemes [link] [comments]


2024.11.25 05:00 Foreign_Reality_4696 Livingstone is so freaking happy to join us 😂♥️

Livingstone is so freaking happy to join us 😂♥️ https://preview.redd.it/9sqxsmcxbz2e1.png?width=1070&format=png&auto=webp&s=213109f3b20ca4e31b717e61470a6cfad84b051e
ngl patidar+jitesh+livingstone+one o/s batter will cook so bad
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2024.11.25 05:00 Sufficient_North_180 Dilipino talaga oh

Dilipino talaga oh submitted by Sufficient_North_180 to NANIKPosting [link] [comments]


2024.11.25 05:00 nvs_ju Sou no mínimo 10 anos mais velha

Sou M(27) e desde sempre gostei de homens mais velhos, meu primeiro namoro foi aos 18 e o rapaz tinha 32, sempre houve uma diferença grande entre eu e as pessoas com quem eu me relacionava, mas eu sempre era a mais nova do casal. Recentemente me mudei pra uma cidade do interior, comecei na academia e algumas semanas depois, chegou um rapaz que coincidentemente malha no mesmo horário que eu, e eu juro por tudo, ele parece ter no mínimo 20 anos, alto, estrutura corporal grande e tls, e muito bonito, não é uma beleza que passa despercebido. Ok, gente bonita tem em todo lugar, né? Mas desde então, me pego olhando muito pra esse rapaz, acho que ele percebe, e honestamente não sei dizer se ele olha normal pra mim ou se me olha com desejo, não sei mesmo. E olha, o que eu tenho sonhado com esse rapaz, não é brincadeira.
Até que um dia, esse rapaz chega com uma blusa que era o uniforme de uma escola da cidade, levei um choque, na verdade o segundo, porque eu sabia que ele era mais novo, e nunca houve interesse da minha parte, mas agora saber que ele ainda estuda, ou seja, no mínimo 17 anos, 3° ano né? Tentei me desvincular da atração que sentia por ele, mas como é difícil viu? Mas acima de tudo, humilhante kkk 17 (possivelmente) anos!! A minha tia tem uma escola aqui nessa cidade, e eu cuido das redes sociais, e sigo as outras escolas também no Instagram, por troca de conteúdos e afins, eis que a escola do dito cujo posta stories com os formandos do 3° ano de 2024, e aqui sendo interior cada série tem apenas uma turma, fui olhar, cadê o menino?? Conclusão, ele não é do 3° ano, ou seja, além de ser menor de idade, ainda pode ter 15 ou 16 anos.
Gente, o que eu faço? Me sinto uma criminosa, já troquei de horário na academia, mas muitas vezes ele aparece nesse outro horário também. Por que a atração por mais novos??? De onde veio isso?
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