Language
English
عربي
Tiếng Việt
русский
français
español
日本語
한글
Deutsch
हिन्दी
简体中文
繁體中文
API
Home
How To Use
Language
English
عربي
Tiếng Việt
русский
français
español
日本語
한글
Deutsch
हिन्दी
简体中文
繁體中文
Home
Detail
@mgsai_2004: ညဥ့်ငှက်နှင့်လူပျော်တ ယောက်#creatorsearchinsights#သီချင်းလေးကြိုက်လို့ပါ #ဒီချိန်တင်ရင်viwerမတတ်မှန်းသိတယ်🙂 #fyp #fyppppppppppppppppppppppp
Mg Sai
Open In TikTok:
Region: TH
Tuesday 14 July 2026 16:57:36 GMT
18424
567
8
90
Music
Download
No Watermark .mp4 (
2.67MB
)
No Watermark(HD) .mp4 (
2.67MB
)
Watermark .mp4 (
6.79MB
)
Music .mp3
Comments
K A I D O :
2026-10-08 02:17:37
0
user8182906337580 :
ကြိုက်တယ်ဗျ
2026-10-05 13:19:24
0
အရူးလေး😍😍😘😘 :
😁😁😁
2026-09-25 16:04:29
2
ᥫ᭡𝐊𝐚𝐳𝐮𝐤𝐢✰ :
😁
2026-09-14 16:08:25
1
@*^-^mei :
🥰🥰🥰
2026-09-27 20:22:50
1
Tun. Lin. mg 😎😎 :
🥰🥰🥰
2026-08-18 07:11:41
2
To see more videos from user @mgsai_2004, please go to the Tikwm homepage.
Other Videos
#فشتون #تاجک #اوزبک #ازارہ #تورکمن
How the “🐬” are ya 😭 #spongebob #spongebobsquarepants
If you’re learning Data Science or SQL, this is a must-know skill. Data modeling is how we design tables, relationships, and keys so data is: ✔ accurate ✔ scalable ✔ fast to query SQL Example (Core Idea): CREATE TABLE orders ( order_id INT PRIMARY KEY, customer_id INT, order_date DATE, FOREIGN KEY (customer_id) REFERENCES customers(customer_id) ); This shows: • Primary Key → unique identity • Foreign Key → table relationships • Normalized structure → clean analytics Good data models = Better joins Faster dashboards Reliable ML features 💡 This is used in real data engineering + analytics jobs, not just exams. 💬 Comment to Boost Engagement 👉 Comment “MODEL” if you want: • 1NF → 3NF explained • Star vs Snowflake schema • Real-world SQL case study #educatoraward #datascience #sql #datamodeling #dataanalytics
Day 172 | Data Science & Machine Learning Algorithms 📊🤖 Machine Learning algorithms are the core tools of Data Science. From predicting trends to making intelligent decisions, Data Science uses ML algorithms to learn patterns from data and turn insights into action. In this post, I’m focusing on how ML fits inside the Data Science workflow and why choosing the right algorithm matters for accuracy, scalability, and real-world impact. 💡 Data Science → Data collection, cleaning, analysis 🤖 Machine Learning → Algorithms that learn from that data If you’re learning Data Science seriously, understanding ML algorithms is non-negotiable. 👇 COMMENT & ENGAGE Which algorithm should I explain next? A) Linear Regression B) Logistic Regression C) Decision Tree D) Random Forest Comment the letter ⬇️ (this helps the algorithm push the post) #datascience #machinelearning #mlalgorithms #artificialintelligence #educatoraward
Flop era #twilight #dune3 #deadpool3
Replying to @nj..tawhid..23 #foryoupage❤️❤️ #fyppppppppppppppppppppppp #fyppppppppppppppppppppppp #fyppppppppppppppppppppppp #foryoupage❤️❤️ @TikTok @TikTok Bangladesh
About
Robot
API
Legal
Privacy Policy