@dolphinayan34:

Miss Universe🐬🐬

Open In TikTok:

Region: PK

Thursday 17 September 2026 13:49:16 GMT

19245

3002

224

31

Music

Download

No Watermark .mp4 (1.84MB) No Watermark(HD) .mp4 (1.5MB) Watermark .mp4 (3.54MB) Music .mp3

Comments

rahmat ali :

sooo sweeet

2026-09-17 18:06:56

1

SYED BADSHAH ♥️❤️‍🔥 :

Had Kaii Yara Madam [Red heart]

2026-09-17 16:38:05

0

khan khan :

Nice jano 🫀❤️‍🩹👀

2026-09-17 14:09:03

2

whoi.am33 :

One day i meet to you 😅🥰

2026-09-17 13:54:34

3

Abdullah Khan :

so sweet

2026-09-17 14:21:51

1

HÀMËËD GÛLL🦅303🦅 :

jan 💔

2026-09-17 13:51:45

4

DANISH KHAN :

dasa pa meena meena grza 🥰

2026-09-17 14:40:15

2

@🤨ÇrïÇ 💌 PátHáñ 😡@ :

dolphin ta mong la jawab wali na raki 💕💕💕💕💕

2026-09-17 13:53:13

4

pakhtoonalak 100 :

mashalla Sam khokole e

2026-09-17 16:11:40

1

Asim Jan :

Uffffff🥰

2026-09-17 18:06:49

1

Umer Khitab :

super

2026-09-17 15:06:35

1

🔥✨QAISAR SWATI✨🔥 :

💖💖💖💖💖

2026-09-17 13:53:01

1

Wisho Doll 🌸🕊️ :

dolphin SMA khesta grzi Jan Allah de happy sata ...zma mama 🥰❤️

2026-09-17 19:18:19

0

Umer Khitab :

2026-09-17 15:05:43

1

Umer Khitab :

2026-09-17 15:03:46

1

Umer Khitab :

2026-09-17 15:03:34

1

Umer Khitab :

so beautiful❤❤❤

2026-09-17 15:19:54

0

Umer Khitab :

so beautiful😍😍😍

2026-09-17 15:06:26

1

farooq :

Mayan yam pata

2026-09-17 16:40:58

0

Nadeem Awan ❤️ :

اے اللہ حرمین الشریفین کی مسجد نبوی صلی اللہ علیہ وسلم حفاظت فرما 🇸🇦🤲

2026-09-17 20:49:52

0

Abeer khan :

[Heart eyes][Heart eyes]

2026-09-17 18:10:22

1

★彡[Qᴀꜱʜᴀᴍ ᴋʜᴀɴ]彡★ :

Quter

2026-09-17 17:15:37

0

77777 :

💔💔

2026-09-17 17:52:11

0

Umer Khitab :

🌹🌹🌹🌹

2026-09-17 15:06:44

0

To see more videos from user @dolphinayan34, please go to the Tikwm homepage.

Other Videos

bakhti rahman hijra sho she kar preho 🥴😥 please bakhti rahman ta support warkai 🙏 #foryoupagе #fypシ #fypシ゚viral🖤tiktok #viralvideo #fyp

bakhti rahman hijra sho she kar preho 🥴😥 please bakhti rahman ta support warkai 🙏 #foryoupagе #fypシ #fypシ゚viral🖤tiktok #viralvideo #fyp

#akbarspoken ada apa dengan cinta ✨ - - #fypシ゚viral #zadiorpreset #presetalightmotion #zyxcba #zadiorpreset

#akbarspoken ada apa dengan cinta ✨ - - #fypシ゚viral #zadiorpreset #presetalightmotion #zyxcba #zadiorpreset

Five machine learning algorithms. One graph. That's the whole trick. Most explainers give each algorithm its own diagram, so you never actually see how they differ. This one puts all five on the SAME pair of axes — and the difference becomes the shape each one draws on it. 1 — LINEAR REGRESSION → draws a LINE You run a delivery company. Distance in, minutes out. It finds the line with the smallest total error, then predicts a number. Real fit here: time = 7.6 + 2.52 × distance. A 12 km job → 37.8 minutes. 2 — LOGISTIC REGRESSION → draws an S-CURVE Despite the name, it classifies. Will this subscriber cancel? The output isn't $37, it's a probability. 17 days since last login → 82% chance of churning. Cross your threshold and that user gets flagged high risk. 3 — DECISION TREES → draws RECTANGLES Hip-hop? Yes. Energetic? Yes. Late at night? No. → Workout playlist. Here's the part nobody shows you: those three questions are literally cuts in the plane. The tree and the carved-up graph are the same object. 4 — SVM → draws a GAP Two species of iris. Plenty of lines separate them — SVM finds the one with the widest possible gap. That gap is the margin (1.397 cm here), and it rests on just 3 points. Add the kernel trick and the boundary can curve: a straight line gets 60%, a curve gets 100%. 5 — KNN → draws NOTHING No line, no curve, no tree. A new film lands in feature space, it checks the 5 closest, 4 are sci-fi, done. The trade-off: it never builds a model, so every prediction re-scans the whole library. 68 examples is instant. 4,200,000 is not. The one-line version: Linear predicts a number. Logistic predicts a class, with a probability. Trees decide by asking. SVM finds the widest boundary. KNN copies its closest neighbours. Every number on screen came from an actual fitted model — and the flowers are the real Fisher iris dataset, not a drawing. Which one finally clicked for you? 👇 #machinelearning #datascience #artificialintelligence #mlengineer #datascienceforbeginners

Five machine learning algorithms. One graph. That's the whole trick. Most explainers give each algorithm its own diagram, so you never actually see how they differ. This one puts all five on the SAME pair of axes — and the difference becomes the shape each one draws on it. 1 — LINEAR REGRESSION → draws a LINE You run a delivery company. Distance in, minutes out. It finds the line with the smallest total error, then predicts a number. Real fit here: time = 7.6 + 2.52 × distance. A 12 km job → 37.8 minutes. 2 — LOGISTIC REGRESSION → draws an S-CURVE Despite the name, it classifies. Will this subscriber cancel? The output isn't $37, it's a probability. 17 days since last login → 82% chance of churning. Cross your threshold and that user gets flagged high risk. 3 — DECISION TREES → draws RECTANGLES Hip-hop? Yes. Energetic? Yes. Late at night? No. → Workout playlist. Here's the part nobody shows you: those three questions are literally cuts in the plane. The tree and the carved-up graph are the same object. 4 — SVM → draws a GAP Two species of iris. Plenty of lines separate them — SVM finds the one with the widest possible gap. That gap is the margin (1.397 cm here), and it rests on just 3 points. Add the kernel trick and the boundary can curve: a straight line gets 60%, a curve gets 100%. 5 — KNN → draws NOTHING No line, no curve, no tree. A new film lands in feature space, it checks the 5 closest, 4 are sci-fi, done. The trade-off: it never builds a model, so every prediction re-scans the whole library. 68 examples is instant. 4,200,000 is not. The one-line version: Linear predicts a number. Logistic predicts a class, with a probability. Trees decide by asking. SVM finds the widest boundary. KNN copies its closest neighbours. Every number on screen came from an actual fitted model — and the flowers are the real Fisher iris dataset, not a drawing. Which one finally clicked for you? 👇 #machinelearning #datascience #artificialintelligence #mlengineer #datascienceforbeginners

Quả Nhạc Tình Cổ này Drill lên nghe có vẻ PEAK VCL các Bác nhỉ...!! #ttmusic #coanhodayroi #capcut #capcutpioneer #pioneertemplate

Quả Nhạc Tình Cổ này Drill lên nghe có vẻ PEAK VCL các Bác nhỉ...!! #ttmusic #coanhodayroi #capcut #capcutpioneer #pioneertemplate

Catwalk 1 chút trước giờ bay💃🏻 #EmouraPham #MissGrandVietNam #SenVang

Catwalk 1 chút trước giờ bay💃🏻 #EmouraPham #MissGrandVietNam #SenVang

The one who knocks 🧪 #BreakingBad #Sony #breakingbadedit #tylerthecreator

The one who knocks 🧪 #BreakingBad #Sony #breakingbadedit #tylerthecreator

About

Robot
API

Legal

Privacy Policy