@alaeban_1: #لؤلؤة_🤩

alaeban_1

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Sunday 04 October 2026 17:56:35 GMT

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IMAD 3004 :

ahhhh music ✨🤩

2026-10-06 21:22:50

0

S.E.B 💗🎀 :

انا بانت ليا مدارة على حد غادا وكدور غا عليا💔

2026-10-05 13:40:07

63

YassminMohamed94 :

مدارت كاع عليهم باقا كتشحط غا فيا

2026-10-06 13:19:43

10

atlasatlas762 :

انا ني لا باس

2026-10-06 13:52:51

0

nihad🐍 :

كدور عليا غا انا

2026-10-06 12:36:20

6

chaimaa :

بليز فتحي تنزيل عفاك بغيتها داب الفيديو 🥰🥰🥰

2026-10-05 19:59:56

1

TOMACOOK👩🏼‍🍳 :

شفت كلشي قلبو طايب اللهم فرجها على الجميع🥰 يارب

2026-10-06 13:59:23

3

maroc :

حسبيا الله ونعم الوكيل فيهم

2026-10-06 01:27:06

2

🇮🇹 :

ana bant Liya dnya 4a mdrara kdor 4a 3liya kndir lkhir okyrj3 3liya bchr yarby yfajiha💔😉🥺🫶🏻

2026-10-06 15:50:33

1

GHALA :

ربي اخلص اخلص ولو تطوال الأيام

2026-10-06 22:27:33

1

aya.el.hamoumi :

انا راني لاباس

2026-10-05 19:13:36

2

siham :

machaelah lah 3lik akhti chhal zwina w fna

2026-10-04 19:35:07

6

Fouzia El :

سبحان الله كتشبه نسيمة الحر

2026-10-06 14:28:12

4

Ilham Boroj :

وااخا وني فين غادا بهاد الزين 😍😍😋

2026-10-06 17:24:50

1

🇲🇦عاش الملك محمد السادس 🇲🇦 :

قولو لدوك العديان راها الدنيا دوارة

2026-10-06 19:29:07

1

One One :

نسيمة الحر

2026-10-06 19:31:07

1

شهيوات الزعرية :

نسيمة الحر سبحان لله

2026-10-06 22:33:21

1

المغرب المغرب :

🥰

2026-10-06 19:06:00

1

سمورا :

نسيمه الحر كاين شبه بينكم

2026-10-05 22:38:09

8

_mhiyawiya_ :

Yea😍

2026-10-04 20:19:08

5

rchid mohamed :

❤️🥰❤️

2026-10-07 14:40:20

0

🎀👮‍♀️شرطية مغربية👮‍♀️🎀 :

2026-10-07 15:55:50

0

samrooo19 :

[Cuore rosso][Cuore rosso]

2026-10-07 05:33:54

0

مانيسا🦄 :

هد اغنية عليةا💔 الحمدلله

2026-10-07 01:41:34

0

منى🎀 :

2026-10-05 00:06:29

0

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Frizzy beach hair #curlyhair #fyp #beach

Frizzy beach hair #curlyhair #fyp #beach

Some of my work… Wil je wat laten zetten dm of whatsapp me 0640547447!!

Some of my work… Wil je wat laten zetten dm of whatsapp me 0640547447!!

Don’t try to learn everything at once. Follow this roadmap step by step 👇 1️⃣ PYTHON 🐍 Start with the language you’ll use throughout your journey. Learn: • Variables & data types • Conditions & loops • Functions • Lists, tuples, sets & dictionaries • OOP • Exception handling • File handling • Modules & packages • Virtual environments 2️⃣ SQL 🗄️ Data Scientists work with databases constantly. Learn: • SELECT & WHERE • GROUP BY & HAVING • JOINs • Subqueries • CTEs • CASE statements • Window functions • Ranking • Date & time analysis 3️⃣ MATHEMATICS 🧮 You don’t need every branch of mathematics. Focus on: • Algebra • Functions • Exponents & logarithms • Vectors • Matrices • Probability • Statistics • Calculus basics • Optimization 4️⃣ DATA ANALYSIS 📊 Learn how to turn raw data into useful information. Master: 🐼 Pandas 🔢 NumPy 📈 Matplotlib 🎨 Seaborn Practice: Cleaning → EDA → Visualization → Insights 5️⃣ STATISTICS 📐 Understand the mathematics behind your data. Learn: • Mean, median & mode • Variance & standard deviation • Probability distributions • Sampling • Confidence intervals • Hypothesis testing • Correlation • Regression • A/B testing 6️⃣ MACHINE LEARNING 🤖 Now start building predictive models. Learn: Supervised Learning • Linear Regression • Logistic Regression • Decision Trees • Random Forest • Gradient Boosting • SVM • KNN Unsupervised Learning • K-Means • Hierarchical Clustering • PCA 7️⃣ MODEL EVALUATION 🎯 Training a model isn’t enough. Understand: • Train / validation / test sets • Cross-validation • Accuracy • Precision • Recall • F1-score • ROC-AUC • MAE / MSE / RMSE • Overfitting & underfitting • Bias-variance tradeoff 8️⃣ FEATURE ENGINEERING ⚙️ Learn how to improve the information given to your model. Practice: • Encoding • Scaling • Feature selection • Transformation • Missing-value handling • Outlier treatment • Feature creation 9️⃣ DEEP LEARNING 🧠 Move beyond traditional ML. Learn: • Neural Networks • Backpropagation • Activation functions • Optimizers • CNNs • RNNs / LSTMs • Transfer Learning • Transformers Tools: PyTorch / TensorFlow 🔟 GENERATIVE AI 🤖✨ Modern Data Science increasingly overlaps with AI engineering. Learn: • LLMs • Prompt Engineering • Embeddings • Vector Databases • RAG • Fine-tuning • AI Agents • Tool Calling • LLM Evaluation • Hallucination & reliability 1️⃣1️⃣ ML ENGINEERING 🚀 Turn your model into a real application. Learn: • Git & GitHub • APIs • FastAPI • Docker • Cloud basics • Model serving • CI/CD • Monitoring • Model drift • MLOps 1️⃣2️⃣ BUILD REAL PROJECTS 🏗️ Don’t wait until you “finish learning.” Build while learning. Beginner: 📊 EDA + Dashboard Intermediate: 🤖 End-to-End ML Project Advanced: 🧠 Deep Learning Project Modern AI: 🔎 RAG Application Production: 🚀 Deployed ML/AI System 🏆 FINAL ROADMAP Python ⬇️ SQL ⬇️ Math + Statistics ⬇️ Pandas + NumPy ⬇️ EDA + Visualization ⬇️ Machine Learning ⬇️ Model Evaluation ⬇️ Feature Engineering ⬇️ Deep Learning ⬇️ Generative AI ⬇️ ML Engineering + MLOps ⬇️ Real Projects ⬇️ Portfolio + Job Applications 💼 🔥 THE MOST IMPORTANT PART Don’t learn: Python → SQL → ML → DL → AI → then start building. Instead: Learn → Build → Break → Debug → Improve → Explain → Repeat. Your portfolio should prove that you can take: DATA → INSIGHT → MODEL → APPLICATION → REAL-WORLD VALUE 📌 Save this roadmap and use it as your Data Science checklist. #DataScience #DataScientist #MachineLearning #creatorsearchinsights #datascientist

Don’t try to learn everything at once. Follow this roadmap step by step 👇 1️⃣ PYTHON 🐍 Start with the language you’ll use throughout your journey. Learn: • Variables & data types • Conditions & loops • Functions • Lists, tuples, sets & dictionaries • OOP • Exception handling • File handling • Modules & packages • Virtual environments 2️⃣ SQL 🗄️ Data Scientists work with databases constantly. Learn: • SELECT & WHERE • GROUP BY & HAVING • JOINs • Subqueries • CTEs • CASE statements • Window functions • Ranking • Date & time analysis 3️⃣ MATHEMATICS 🧮 You don’t need every branch of mathematics. Focus on: • Algebra • Functions • Exponents & logarithms • Vectors • Matrices • Probability • Statistics • Calculus basics • Optimization 4️⃣ DATA ANALYSIS 📊 Learn how to turn raw data into useful information. Master: 🐼 Pandas 🔢 NumPy 📈 Matplotlib 🎨 Seaborn Practice: Cleaning → EDA → Visualization → Insights 5️⃣ STATISTICS 📐 Understand the mathematics behind your data. Learn: • Mean, median & mode • Variance & standard deviation • Probability distributions • Sampling • Confidence intervals • Hypothesis testing • Correlation • Regression • A/B testing 6️⃣ MACHINE LEARNING 🤖 Now start building predictive models. Learn: Supervised Learning • Linear Regression • Logistic Regression • Decision Trees • Random Forest • Gradient Boosting • SVM • KNN Unsupervised Learning • K-Means • Hierarchical Clustering • PCA 7️⃣ MODEL EVALUATION 🎯 Training a model isn’t enough. Understand: • Train / validation / test sets • Cross-validation • Accuracy • Precision • Recall • F1-score • ROC-AUC • MAE / MSE / RMSE • Overfitting & underfitting • Bias-variance tradeoff 8️⃣ FEATURE ENGINEERING ⚙️ Learn how to improve the information given to your model. Practice: • Encoding • Scaling • Feature selection • Transformation • Missing-value handling • Outlier treatment • Feature creation 9️⃣ DEEP LEARNING 🧠 Move beyond traditional ML. Learn: • Neural Networks • Backpropagation • Activation functions • Optimizers • CNNs • RNNs / LSTMs • Transfer Learning • Transformers Tools: PyTorch / TensorFlow 🔟 GENERATIVE AI 🤖✨ Modern Data Science increasingly overlaps with AI engineering. Learn: • LLMs • Prompt Engineering • Embeddings • Vector Databases • RAG • Fine-tuning • AI Agents • Tool Calling • LLM Evaluation • Hallucination & reliability 1️⃣1️⃣ ML ENGINEERING 🚀 Turn your model into a real application. Learn: • Git & GitHub • APIs • FastAPI • Docker • Cloud basics • Model serving • CI/CD • Monitoring • Model drift • MLOps 1️⃣2️⃣ BUILD REAL PROJECTS 🏗️ Don’t wait until you “finish learning.” Build while learning. Beginner: 📊 EDA + Dashboard Intermediate: 🤖 End-to-End ML Project Advanced: 🧠 Deep Learning Project Modern AI: 🔎 RAG Application Production: 🚀 Deployed ML/AI System 🏆 FINAL ROADMAP Python ⬇️ SQL ⬇️ Math + Statistics ⬇️ Pandas + NumPy ⬇️ EDA + Visualization ⬇️ Machine Learning ⬇️ Model Evaluation ⬇️ Feature Engineering ⬇️ Deep Learning ⬇️ Generative AI ⬇️ ML Engineering + MLOps ⬇️ Real Projects ⬇️ Portfolio + Job Applications 💼 🔥 THE MOST IMPORTANT PART Don’t learn: Python → SQL → ML → DL → AI → then start building. Instead: Learn → Build → Break → Debug → Improve → Explain → Repeat. Your portfolio should prove that you can take: DATA → INSIGHT → MODEL → APPLICATION → REAL-WORLD VALUE 📌 Save this roadmap and use it as your Data Science checklist. #DataScience #DataScientist #MachineLearning #creatorsearchinsights #datascientist

Không chỉ bảo đảm tốt phương tiện, phong trào “Xây dựng đơn vị vận tải chính quy, an toàn, hiệu quả” đã tạo nên sức mạnh cơ động bền bỉ, giúp lực lượng vận tải hoàn thành thắng lợi mọi nhiệm vụ huấn luyện, sẵn sàng chiến đấu cũng như kịp thời có mặt giúp nhân dân trong mọi tình huống. #quandoinhandanvietnam #camerachiensi #qpvn

Không chỉ bảo đảm tốt phương tiện, phong trào “Xây dựng đơn vị vận tải chính quy, an toàn, hiệu quả” đã tạo nên sức mạnh cơ động bền bỉ, giúp lực lượng vận tải hoàn thành thắng lợi mọi nhiệm vụ huấn luyện, sẵn sàng chiến đấu cũng như kịp thời có mặt giúp nhân dân trong mọi tình huống. #quandoinhandanvietnam #camerachiensi #qpvn

ׂ╰┈ ׂ Dear God ⋅˚₊‧ ଳ ‧₊˚ ⋅ 𝐩𝐫𝐬𝐭 ⋮ https://alightcreative.com/am/share/u/I1o3O9fyawSPdBKhlgIcnm2s2tu1/p/N0elWoCj7M-6d36be0b60b3a735 #4u #fyp #ml #mlbb #javabase

ׂ╰┈ ׂ Dear God ⋅˚₊‧ ଳ ‧₊˚ ⋅ 𝐩𝐫𝐬𝐭 ⋮ https://alightcreative.com/am/share/u/I1o3O9fyawSPdBKhlgIcnm2s2tu1/p/N0elWoCj7M-6d36be0b60b3a735 #4u #fyp #ml #mlbb #javabase

جيل زد يحارب علامات التقدّم في السن… إلا الشعرة البيضاء، هذه صارت جزءا من اللوك. #RaneemQ_blinx #GenZ #التقدم_في_السن #الشيب #حقائق

جيل زد يحارب علامات التقدّم في السن… إلا الشعرة البيضاء، هذه صارت جزءا من اللوك. #RaneemQ_blinx #GenZ #التقدم_في_السن #الشيب #حقائق

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