@chivas: 🤫🤫🤫🤫

Chivas

Open In TikTok:

Region: MX

Thursday 19 March 2026 07:18:32 GMT

1311129

179572

509

3714

Music

Download

No Watermark .mp4 (3.09MB) No Watermark(HD) .mp4 (1.47MB) Watermark .mp4 (3.22MB) Music .mp3

Comments

brunozmm :

brian gutiérrez en 4 partidos a echo más que charly rodríguez en 70 partidos

2026-04-01 14:59:00

7492

Kevinnnn Olveraaa :

mora está sobrevalorado la neta

2026-03-19 14:24:50

564

Aloisi85 :

Brian Gutierrez es un jugadorazo. 🤘🏻🤘🏻🤘🏻

2026-03-19 12:38:14

2893

elhux :

y que fué?

2026-03-19 16:45:37

325

J.E :

Si chivas anda bien la selección mexicana va a andar bien, chivas debe ser la base

2026-03-19 07:22:33

4477

Diego Ramiritos :

Hoy se dio un partidazo

2026-04-01 04:45:37

167

Ricardo Gomez Ramirez :

No soy chiva pero la neta si juega bien el morro

2026-04-02 02:46:36

16

𝐀𝐬𝐡𝐞𝐥𝐨𝐯𝐞' :

algún día jugaré con mis chivas y en el estadio más hermoso de todo México 💙🤍❤️

2026-03-19 07:29:36

457

.... :

no subestimen al muchacho y miren un poco la cantera.

2026-03-19 14:16:59

129

Alfonso Roman :

JAJAJAJA VILLA VILLA sabe cositas

2026-04-01 05:30:55

97

Ricardo Angel :

Wey nos cayó la boca a todos ni que decir hehehheeh

2026-04-01 22:43:02

32

César Merino :

“no es ni titular en chivas” 🗣️

2026-04-04 04:36:36

13

Isaac Mani215 :

Que bien envejeció este video 🥰

2026-04-02 01:31:45

37

edgarramirez8485 :

Americanista reconociendo que este chavo es chingón 🔥🔥🔥

2026-04-02 15:51:24

16

leo01 🧤🧤🧤 :

chivas yo te vi ayer en el estadio contra el león me puedes saludar plis

2026-03-19 19:27:10

0

The mexa :

Por eso es analista sino sería técnico

2026-04-03 16:17:51

12

A N G E L :

Cada vez más, me cae un poco mal el Don deivid 😅

2026-04-02 10:21:53

20

এ𝙰𝚕𝚒 :

2026-03-19 13:36:59

6735

Eco Del Apocalipsis :

Brian Gutierres es un jugadorazo

2026-04-03 00:25:00

15

Mina ✨ :

TE AMO DON SILVERIO DEL CHIVERÍO. Tenemos agusticidad.

2026-03-19 08:15:50

92

🇷🇺 :

2026-03-19 07:20:19

103

gabriel :

Brian Gutiérrez y Álvaro Fidalgo haciendo más en dos partidos que Charly Rodríguez desde que lo convocaron 🤷🏻

2026-04-08 22:57:51

7

Mike︻╦̵̵͇̿̿̿̿╤─ :

que tal y hoy dió un gran partido 🗿

2026-04-01 08:25:29

12

Marco Dominguez6 :

Está muy sobrevalorado mora y marcel, en menos partidos Brian Gutiérrez y fidalgo hicieron algo que los otros no hacer jugar bien a México

2026-04-02 02:26:48

20

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

Other Videos

🍃😘🍃

📚 MACHINE LEARNING & DATA SCIENCE RESOURCES THAT ACTUALLY HELP Stop saving 100 courses and finishing none. Here are resources worth putting to work 👇 🐍 1. PYTHON Python Documentation Build strong fundamentals instead of memorizing syntax. Focus on: • Functions • OOP • Modules • Exceptions • File handling • Virtual environments 📊 2. DATA ANALYSIS Pandas Documentation Learn how to actually work with real datasets. Focus on: • Data cleaning • GroupBy • Merge/Join • Missing values • Time series • Aggregation 🧮 3. STATISTICS StatQuest 🎯 Excellent for understanding: • Probability • Distributions • Hypothesis testing • Regression • Statistical concepts behind ML 👉 Focus on understanding why, not memorizing formulas. 🤖 4. MACHINE LEARNING Andrew Ng’s Machine Learning courses Build your foundation around: • Regression • Classification • Decision Trees • Clustering • Feature engineering • Model evaluation • Machine learning best practices 🧠 5. ML CONCEPTS Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow Great for connecting: Theory → Python → Models → Real Projects 🐍 6. SCIKIT-LEARN Scikit-learn Documentation One of the best places to learn practical ML workflows. Focus on: Preprocessing → Training → Cross-validation → Tuning → Evaluation 🏆 7. KAGGLE Don’t just collect Kaggle certificates. Use Kaggle to: 📂 Find datasets 🧹 Practice cleaning 📊 Perform EDA 🤖 Build models 🏁 Join competitions 👀 Study other notebooks 🧬 8. DEEP LEARNING DeepLearning.AI Learn: • Neural Networks • CNNs • Sequence models • Transformers • Generative AI 🤗 9. HUGGING FACE Essential when moving toward modern AI. Explore: 🤗 Transformers 🧠 Pre-trained models 🔤 NLP 👁️ Computer Vision 🔎 Embeddings 🧪 Model evaluation 🏗️ 10. FULL STACK DEEP LEARNING Want to understand how ML systems actually reach production? Learn: Data → Model → Deployment → Monitoring → Product This is where many learners discover that building ML ≠ just training a model 💻 11. GITHUB Use GitHub as a learning resource. Search for: 🔎 Real ML projects 🔎 Production pipelines 🔎 RAG applications 🔎 MLOps projects 🔎 Model deployment examples Read → Run → Modify → Break → Fix → Build your own 🚀 12. REAL PROJECTS The most important resource: Your own projects. Build: 1️⃣ Data Analysis Project 2️⃣ Dashboard 3️⃣ Classical ML Project 4️⃣ Deep Learning Project 5️⃣ RAG/GenAI Project 6️⃣ End-to-End deployed project 🧠 THE LEARNING FORMULA Learn Concept ⬇️ Implement It ⬇️ Work With Real Data ⬇️ Break Something ⬇️ Debug It ⬇️ Build a Project ⬇️ Explain What You Built 🔥 REMEMBER You don’t need: ❌ 50 courses ❌ 100 certificates ❌ 500 bookmarked tutorials You need: ✅ Strong fundamentals ✅ Consistent practice ✅ Real datasets ✅ Real projects ✅ Technical understanding ✅ A portfolio that proves your skills Don’t collect resources. Turn resources into skills. 🚀 📌 Save this list and pick one resource today. #MachineLearning #DataScience #Python #creatorsearchinsights #datascience

📚 MACHINE LEARNING & DATA SCIENCE RESOURCES THAT ACTUALLY HELP Stop saving 100 courses and finishing none. Here are resources worth putting to work 👇 🐍 1. PYTHON Python Documentation Build strong fundamentals instead of memorizing syntax. Focus on: • Functions • OOP • Modules • Exceptions • File handling • Virtual environments 📊 2. DATA ANALYSIS Pandas Documentation Learn how to actually work with real datasets. Focus on: • Data cleaning • GroupBy • Merge/Join • Missing values • Time series • Aggregation 🧮 3. STATISTICS StatQuest 🎯 Excellent for understanding: • Probability • Distributions • Hypothesis testing • Regression • Statistical concepts behind ML 👉 Focus on understanding why, not memorizing formulas. 🤖 4. MACHINE LEARNING Andrew Ng’s Machine Learning courses Build your foundation around: • Regression • Classification • Decision Trees • Clustering • Feature engineering • Model evaluation • Machine learning best practices 🧠 5. ML CONCEPTS Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow Great for connecting: Theory → Python → Models → Real Projects 🐍 6. SCIKIT-LEARN Scikit-learn Documentation One of the best places to learn practical ML workflows. Focus on: Preprocessing → Training → Cross-validation → Tuning → Evaluation 🏆 7. KAGGLE Don’t just collect Kaggle certificates. Use Kaggle to: 📂 Find datasets 🧹 Practice cleaning 📊 Perform EDA 🤖 Build models 🏁 Join competitions 👀 Study other notebooks 🧬 8. DEEP LEARNING DeepLearning.AI Learn: • Neural Networks • CNNs • Sequence models • Transformers • Generative AI 🤗 9. HUGGING FACE Essential when moving toward modern AI. Explore: 🤗 Transformers 🧠 Pre-trained models 🔤 NLP 👁️ Computer Vision 🔎 Embeddings 🧪 Model evaluation 🏗️ 10. FULL STACK DEEP LEARNING Want to understand how ML systems actually reach production? Learn: Data → Model → Deployment → Monitoring → Product This is where many learners discover that building ML ≠ just training a model 💻 11. GITHUB Use GitHub as a learning resource. Search for: 🔎 Real ML projects 🔎 Production pipelines 🔎 RAG applications 🔎 MLOps projects 🔎 Model deployment examples Read → Run → Modify → Break → Fix → Build your own 🚀 12. REAL PROJECTS The most important resource: Your own projects. Build: 1️⃣ Data Analysis Project 2️⃣ Dashboard 3️⃣ Classical ML Project 4️⃣ Deep Learning Project 5️⃣ RAG/GenAI Project 6️⃣ End-to-End deployed project 🧠 THE LEARNING FORMULA Learn Concept ⬇️ Implement It ⬇️ Work With Real Data ⬇️ Break Something ⬇️ Debug It ⬇️ Build a Project ⬇️ Explain What You Built 🔥 REMEMBER You don’t need: ❌ 50 courses ❌ 100 certificates ❌ 500 bookmarked tutorials You need: ✅ Strong fundamentals ✅ Consistent practice ✅ Real datasets ✅ Real projects ✅ Technical understanding ✅ A portfolio that proves your skills Don’t collect resources. Turn resources into skills. 🚀 📌 Save this list and pick one resource today. #MachineLearning #DataScience #Python #creatorsearchinsights #datascience

العب العب العب 💃🏽💃🏽💃🏽برنزية العالم 💙💙💙💙#عااااااشوووووو👏👏👏👏👏👏💃💃💃💃

العب العب العب 💃🏽💃🏽💃🏽برنزية العالم 💙💙💙💙#عااااااشوووووو👏👏👏👏👏👏💃💃💃💃

Kasih seorang IBU tidak dapat dijual beli. Ingat tiada IBU tiada kita. Buat isteri, dia adalah bidadari yang perlu kita UTAMAKAN. Jangan sia2 kan wanita-wanita yang HEBAT ini. #syurgaku #bidadari #wanitahebat #ammarhaziqmotorsport #br

Kasih seorang IBU tidak dapat dijual beli. Ingat tiada IBU tiada kita. Buat isteri, dia adalah bidadari yang perlu kita UTAMAKAN. Jangan sia2 kan wanita-wanita yang HEBAT ini. #syurgaku #bidadari #wanitahebat #ammarhaziqmotorsport #br

Video pendek je, tapi dah nampak kenapa barang ni menarik. Kalau tengah cari rice cooker baru, simpan dulu video ni 🛒 #ricecooker #periuknasi #homeappliance #contencreatorinsights #kitchenware

Video pendek je, tapi dah nampak kenapa barang ni menarik. Kalau tengah cari rice cooker baru, simpan dulu video ni 🛒 #ricecooker #periuknasi #homeappliance #contencreatorinsights #kitchenware

Lizzo - Special Tour, AUS #lizzo #lizzobeeating #lizzospecialtour #lizzoaustralia #livemusic #twerking #lizzosbiggrrrls #lizzoconcert #lizzodance

Lizzo - Special Tour, AUS #lizzo #lizzobeeating #lizzospecialtour #lizzoaustralia #livemusic #twerking #lizzosbiggrrrls #lizzoconcert #lizzodance

About

Robot
API

Legal

Privacy Policy