@c013oc: цхьа пал бам би ас #fyp #grozny #95 #shali #camry70 #camry

с013ос
с013ос
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Monday 29 June 2026 12:13:46 GMT
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sdmmm2009
sdmmm2009 :
я тоже люблю камри дауда
2026-06-29 21:01:06
3
ssh0772
𝗺𝗼𝗻𝗶𝗸𝗮 :
все мы иногда дауд
2026-06-29 21:06:41
8
strawberryelephant000
saveliy🦈 :
где такой звук сделать?
2026-06-29 20:28:49
3
amina6738011107377
имена со) :
и звук мух я йез дициш
2026-06-29 23:03:43
0
ast.009kt
m :
звук воьзму?
2026-06-29 14:52:07
1
hadisha_nochco
𝓗𝓪𝓭𝓲𝓼𝓱𝓴𝓪 :
теперь понятен твой ник
2026-06-29 20:14:36
1
amr_.355
Марьям💛 :
Ва и звук суна яйшшшш
2026-06-29 19:41:43
2
dd_samiii
dd_samiii :
вз подписк кто?
2026-06-29 20:39:26
0
khazhbekov.96
. :
2026-06-29 18:26:00
2
vernaya187
saansa :
кхета хьун
2026-06-29 20:13:22
1
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Imagine waking up every day knowing the world wasn’t built for you. The chairs don’t fit. The doctors don’t care. The spaces aren’t made for you. And then being told, over and over, that your very existence is the problem.⁣⁣ ⁣⁣ 💔 This isn’t just uncomfortable—it’s exhausting. It’s a constant reminder that society doesn’t value you, that your body is a burden in its eyes. That toll? It wears you down. It chips away at your confidence, your dignity, your worth.⁣⁣ ⁣⁣ ❌ But it doesn’t have to be this way.⁣⁣ ⁣⁣ 🛑 The Fat Accessibility Act is about more than fitting into spaces. It’s about creating a world where fat people can move through life with dignity, comfort, and equal access—without the mental and physical burden of fighting for basic human rights.⁣⁣ ⁣⁣ 💡 Imagine a world where:⁣⁣ ⁣⁣ Doctors have equipment for every body. 🩺⁣⁣ Public spaces are built to include, not exclude. 🪑⁣⁣ ⁣ Everyone can exist without fear of being judged, excluded, or seen as
Imagine waking up every day knowing the world wasn’t built for you. The chairs don’t fit. The doctors don’t care. The spaces aren’t made for you. And then being told, over and over, that your very existence is the problem.⁣⁣ ⁣⁣ 💔 This isn’t just uncomfortable—it’s exhausting. It’s a constant reminder that society doesn’t value you, that your body is a burden in its eyes. That toll? It wears you down. It chips away at your confidence, your dignity, your worth.⁣⁣ ⁣⁣ ❌ But it doesn’t have to be this way.⁣⁣ ⁣⁣ 🛑 The Fat Accessibility Act is about more than fitting into spaces. It’s about creating a world where fat people can move through life with dignity, comfort, and equal access—without the mental and physical burden of fighting for basic human rights.⁣⁣ ⁣⁣ 💡 Imagine a world where:⁣⁣ ⁣⁣ Doctors have equipment for every body. 🩺⁣⁣ Public spaces are built to include, not exclude. 🪑⁣⁣ ⁣ Everyone can exist without fear of being judged, excluded, or seen as "too much."⁣⁣ 🔥 This is the future we’re fighting for, and it starts NOW.⁣⁣ ⁣⁣ 📢 Take action:⁣⁣ 1️⃣ Fill out our survey (linked in my bio).⁣⁣ 2️⃣ Sign the petition at change.org/FatEquality.⁣⁣ 3️⃣ Share this post and make your voice heard.⁣⁣ ⁣⁣ Together, we can make 2025 the year of accessibility, dignity, and equality for ALL bodies. This is our fight. This is our time. Let’s build a world where no one is left out.⁣⁣ •⁣⁣ •⁣⁣ •⁣⁣ #FatAccessibilityAct #BodyJustice #EndFatDiscrimination #AllBodiesAreGoodBodies #AccessibilityForAll #FatLiberation #NoBodyLeftBehind #HumanRightsAreFatRights #EqualAccessForEverybody #FatEqualityBillOfRights #BodyEqualityInTravel #FearlessFatAdvocacy #FatRightsAreHumanRights #FatActivist #Fyp
Decision Tree Regression Pipeline Using Python Learn about Regression Decision Trees, a powerful machine learning technique for predicting continuous values, from basic concepts to advanced implementations using scikit-learn library and practical applications in Python. #python #machinelearning #datascience #coding #programming #computerscience #stem #technology #Tech #artificialintelligence #data #statistics you can find, for free, this and all others slideshow on the xbe.at website Tips to Master Regression Decision Trees: 1. Start with simple datasets and gradually increase complexity. Understanding the fundamentals with basic examples helps grasp more complex scenarios later. 2. Visualize your trees frequently. Creating visual representations helps understand how the tree makes decisions and identifies potential issues in the model. 3. Always perform cross-validation. One split might give optimistic results - use multiple splits to get a more realistic understanding of model performance. 4. Document your hyperparameter choices. Different settings can dramatically affect tree performance - keep track of what works and what doesn't. 5. Practice feature engineering. Decision trees can handle raw data, but thoughtful feature engineering often improves performance significantly. 6. Learn to interpret feature importance. Understanding which variables drive predictions helps improve both the model and your domain knowledge. 7. Compare with other models. Implementing multiple approaches helps understand when decision trees are the best choice for your problem. 8. Focus on preventing overfitting. Master techniques like pruning and setting appropriate tree depth to create more generalizable models.
Decision Tree Regression Pipeline Using Python Learn about Regression Decision Trees, a powerful machine learning technique for predicting continuous values, from basic concepts to advanced implementations using scikit-learn library and practical applications in Python. #python #machinelearning #datascience #coding #programming #computerscience #stem #technology #Tech #artificialintelligence #data #statistics you can find, for free, this and all others slideshow on the xbe.at website Tips to Master Regression Decision Trees: 1. Start with simple datasets and gradually increase complexity. Understanding the fundamentals with basic examples helps grasp more complex scenarios later. 2. Visualize your trees frequently. Creating visual representations helps understand how the tree makes decisions and identifies potential issues in the model. 3. Always perform cross-validation. One split might give optimistic results - use multiple splits to get a more realistic understanding of model performance. 4. Document your hyperparameter choices. Different settings can dramatically affect tree performance - keep track of what works and what doesn't. 5. Practice feature engineering. Decision trees can handle raw data, but thoughtful feature engineering often improves performance significantly. 6. Learn to interpret feature importance. Understanding which variables drive predictions helps improve both the model and your domain knowledge. 7. Compare with other models. Implementing multiple approaches helps understand when decision trees are the best choice for your problem. 8. Focus on preventing overfitting. Master techniques like pruning and setting appropriate tree depth to create more generalizable models.

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