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Saturday 03 January 2026 00:43:21 GMT

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teo :

2026-01-03 00:53:27

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sunčica :

😍😍

2026-01-03 00:52:59

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𝓪𝓳𝓼𝓪🤍 :

😍😍😍😍

2026-01-22 13:23:07

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JP :

Jubi❣️❣️❣️

2026-01-03 00:46:35

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lena :

najbolja

2026-01-03 00:55:35

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Una :

2026-01-03 01:17:03

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Una :

2026-01-03 01:20:27

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M :

🤩

2026-01-03 12:16:55

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taśka :

🤩

2026-01-03 13:19:21

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galiotalasta :

😍😍😍😘😘😘😘

2026-01-07 05:28:56

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Comenten si quieren info de especies nativas para cerco vivo 😁🙌🌱 #Plantas #plantasnativas #Jardinería #Biodiversidad #Argentina

Comenten si quieren info de especies nativas para cerco vivo 😁🙌🌱 #Plantas #plantasnativas #Jardinería #Biodiversidad #Argentina

train the second one before your next argument. #studytok #SelfImprovement #discipline #mindset #criticalthinking

train the second one before your next argument. #studytok #SelfImprovement #discipline #mindset #criticalthinking

TEVEKTE ÜZÜM KARA… Kelimelerin kifayetsiz kaldığı yerde sazın telleri konuşur. Anadolu’nun derin sevdalarını anlatan bu güzel ezgiyi bağlamamın tellerine döktüm. Türkülerimizin ardındaki bu derin felsefeye kulak veren tüm dostlara selam olsun. 🪕 Tevekte üzüm kara yar yar yar yar Salkımı düzüm kara Diley diley yangınam Ben o yare vurgunam Yar yar yar amman Ben yare gidemiyom yar yar yar yar Elim boş yüzüm kara Diley diley yangınam Ben o yare vurgunam Yar yar yar amman Dama vurdum çatmayı yar yar yar yar Seslen gelsin Fatma'yı Diley diley yangınam Ben o yare vurgunam Yar yar yar amman Fatmam nerden öğrenmiş yar yar yar yar Çarşaftan kol atmayı Diley diley yangınam Ben o yare vurgunam Yar yar yar amman #bağlama #müzik #türkhalkmüziği #türküler #saz @RØDE @apple @Shure @Zoom Official Store @SmallRigOfficial @ACASIS

TEVEKTE ÜZÜM KARA… Kelimelerin kifayetsiz kaldığı yerde sazın telleri konuşur. Anadolu’nun derin sevdalarını anlatan bu güzel ezgiyi bağlamamın tellerine döktüm. Türkülerimizin ardındaki bu derin felsefeye kulak veren tüm dostlara selam olsun. 🪕 Tevekte üzüm kara yar yar yar yar Salkımı düzüm kara Diley diley yangınam Ben o yare vurgunam Yar yar yar amman Ben yare gidemiyom yar yar yar yar Elim boş yüzüm kara Diley diley yangınam Ben o yare vurgunam Yar yar yar amman Dama vurdum çatmayı yar yar yar yar Seslen gelsin Fatma'yı Diley diley yangınam Ben o yare vurgunam Yar yar yar amman Fatmam nerden öğrenmiş yar yar yar yar Çarşaftan kol atmayı Diley diley yangınam Ben o yare vurgunam Yar yar yar amman #bağlama #müzik #türkhalkmüziği #türküler #saz @RØDE @apple @Shure @Zoom Official Store @SmallRigOfficial @ACASIS

@guijunqueira Se você não aprende a controlar o dinheiro, ele vai controlar você. @clipfyai.league @guijunqueira #guijunqueira #clipfyleague #guijunqueiraclipfy

@guijunqueira Se você não aprende a controlar o dinheiro, ele vai controlar você. @clipfyai.league @guijunqueira #guijunqueira #clipfyleague #guijunqueiraclipfy

📊 DATA SCIENCE ROADMAP From Beginner to Job-Ready Data Scientist 🚀 Data Science isn’t just Python or Machine Learning. It’s the combination of data, statistics, programming, ML, and business thinking. 🟢 1. PYTHON 🐍 Master: • Variables & Data Types • Conditions & Loops • Functions • Data Structures • OOP Basics • NumPy • Pandas 🎯 Goal: Work confidently with data. 🔵 2. SQL 🗄️ Learn: • SELECT & Filtering • GROUP BY • JOINs • CASE WHEN • Subqueries • CTEs • Window Functions 🎯 Goal: Extract and analyze data from databases. 🟡 3. STATISTICS 📈 Understand: • Mean & Median • Variance & Standard Deviation • Probability • Distributions • Correlation • Hypothesis Testing • Confidence Intervals 🎯 Goal: Understand what the data actually means. 🟠 4. DATA ANALYSIS 🔍 Learn: • Data Cleaning • EDA • Feature Engineering • Visualization • Pattern Detection • Insight Generation Tools: 🐼 Pandas 📊 Matplotlib 📈 Seaborn 🔴 5. MACHINE LEARNING 🤖 Master the fundamentals: • Linear Regression • Logistic Regression • Decision Trees • Random Forest • Gradient Boosting • Clustering • Model Evaluation 🎯 Goal: Build models that solve real problems. 🟣 6. DEEP LEARNING 🧠 Then explore: • Neural Networks • CNNs • RNNs • Transformers • Computer Vision • NLP ⚫ 7. ML ENGINEERING 🚀 Learn how to take models beyond notebooks: • APIs • FastAPI • Docker • Git & GitHub • Cloud Deployment • Model Monitoring • MLOps 🎯 Goal: Build systems people can actually use. 🟢 8. GENERATIVE AI 🤖 Modern Data Scientists can also benefit from understanding: • LLMs • Embeddings • Vector Databases • RAG • AI Agents • LLM Evaluation 🗺️ THE COMPLETE PATH Python ⬇️ SQL ⬇️ Statistics ⬇️ Data Analysis ⬇️ Machine Learning ⬇️ Deep Learning ⬇️ ML Engineering ⬇️ Generative AI ⬇️ 🚀 Real-World Projects 💡 DON’T LEARN EVERYTHING AT ONCE Pick one layer. Learn → Practice → Build → Explain → Deploy Then move to the next. The goal isn’t to collect certificates or memorize algorithms. The goal is to become someone who can take: Raw Data → Analysis → Model → Insight → Solution 📌 Save this roadmap for your Data Science journey. #DataScience #DataScientist #DataAnalysis #creatorsearchinsights #datascience

📊 DATA SCIENCE ROADMAP From Beginner to Job-Ready Data Scientist 🚀 Data Science isn’t just Python or Machine Learning. It’s the combination of data, statistics, programming, ML, and business thinking. 🟢 1. PYTHON 🐍 Master: • Variables & Data Types • Conditions & Loops • Functions • Data Structures • OOP Basics • NumPy • Pandas 🎯 Goal: Work confidently with data. 🔵 2. SQL 🗄️ Learn: • SELECT & Filtering • GROUP BY • JOINs • CASE WHEN • Subqueries • CTEs • Window Functions 🎯 Goal: Extract and analyze data from databases. 🟡 3. STATISTICS 📈 Understand: • Mean & Median • Variance & Standard Deviation • Probability • Distributions • Correlation • Hypothesis Testing • Confidence Intervals 🎯 Goal: Understand what the data actually means. 🟠 4. DATA ANALYSIS 🔍 Learn: • Data Cleaning • EDA • Feature Engineering • Visualization • Pattern Detection • Insight Generation Tools: 🐼 Pandas 📊 Matplotlib 📈 Seaborn 🔴 5. MACHINE LEARNING 🤖 Master the fundamentals: • Linear Regression • Logistic Regression • Decision Trees • Random Forest • Gradient Boosting • Clustering • Model Evaluation 🎯 Goal: Build models that solve real problems. 🟣 6. DEEP LEARNING 🧠 Then explore: • Neural Networks • CNNs • RNNs • Transformers • Computer Vision • NLP ⚫ 7. ML ENGINEERING 🚀 Learn how to take models beyond notebooks: • APIs • FastAPI • Docker • Git & GitHub • Cloud Deployment • Model Monitoring • MLOps 🎯 Goal: Build systems people can actually use. 🟢 8. GENERATIVE AI 🤖 Modern Data Scientists can also benefit from understanding: • LLMs • Embeddings • Vector Databases • RAG • AI Agents • LLM Evaluation 🗺️ THE COMPLETE PATH Python ⬇️ SQL ⬇️ Statistics ⬇️ Data Analysis ⬇️ Machine Learning ⬇️ Deep Learning ⬇️ ML Engineering ⬇️ Generative AI ⬇️ 🚀 Real-World Projects 💡 DON’T LEARN EVERYTHING AT ONCE Pick one layer. Learn → Practice → Build → Explain → Deploy Then move to the next. The goal isn’t to collect certificates or memorize algorithms. The goal is to become someone who can take: Raw Data → Analysis → Model → Insight → Solution 📌 Save this roadmap for your Data Science journey. #DataScience #DataScientist #DataAnalysis #creatorsearchinsights #datascience

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