Machine Learning

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Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho

Ko'proq ko'rsatish

Tarmoq:Machine Learning with Python Suriya227 Texnologiyalar & Aralashmalar3 343...

📈 Telegram kanali Machine Learning analitikasi

Machine Learning (@machinelearning9) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 265 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 343-o'rinni va Suriya mintaqasida 227-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 40 265 obunachiga ega bo‘ldi.

06 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 336 ga, so‘nggi 24 soatda esa -4 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 2.25% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.88% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 906 marta ko‘riladi; birinchi sutkada odatda 758 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 3 ta reaksiya keladi.
Tematik yo‘nalishlar: Kontent distance, insidead, gpu, learning, degree kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 07 Iyul, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

40 265

Obunachilar

-424 soatlar

+917 kunlar

+33630 kunlar

906

Post ko'rishlar

~ 75824 soatlar

~ 1 03748 soatlar

2.25%

Muloqot nisbati

~ 3

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40 265

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📌 Data Engineering – ORM and ODM with Python 🗂 Category: DATA ENGINEERING 🕒 Date: 2025-01-02 | ⏱️ Read time: 7 min read Manipulate database data leveraging an object-oriented programming paradigm

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📌 The Fallacy of Complacent Distroless Containers 🗂 Category: SECURITY AND PRIVACY 🕒 Date: 2025-01-02 | ⏱️ Read time: 6 min read Making containers smaller is the most popular practice when reducing your attack surface. But how…

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📌 Demand Forecasting with Darts: A Tutorial 🗂 Category: 🕒 Date: 2025-01-02 | ⏱️ Read time: 19 min read A hands-on tutorial with Python and Darts for demand forecasting, showcasing the power of TiDE…

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📌 Harnessing Polars and Geopandas to Generate Millions of Transects in Seconds 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-03 | ⏱️ Read time: 11 min read Making the bears play nice

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📌 Integrating Feature Selection into the Model Estimation 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-01-03 | ⏱️ Read time: 11 min read Combining mixture of normal regressions with in-built feature selection into powerful modeling tool

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📌 What I’m Updating in My AI Ethics Class for 2025 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-03 | ⏱️ Read time: 12 min read What happened in 2024 that is new and significant in the world of AI ethics?

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📌 Non-Technical Principles All Data Scientists Should Have 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-03 | ⏱️ Read time: 13 min read Making you a better data scientist, and enhancing your career.

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📌 The Cultural Impact of AI Generated Content: Part 2 🗂 Category: 🕒 Date: 2025-01-03 | ⏱️ Read time: 11 min read What can we do about the increasingly sophisticated AI generated content in our lives?

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📌 How to Tell Among Two Regression Models with Statistical Significance 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-03 | ⏱️ Read time: 9 min read Diving into the F-test for nested models with algorithms, examples and code

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📌 Data behind the Luck, Ambition, and a Billion-Dollar Dream: Lottery 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-04 | ⏱️ Read time: 13 min read Using Seattle’s local retail store data for consumer patterns of the lottery (SQL, Python)

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📌 The Next Frontier in LLM Accuracy 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-04 | ⏱️ Read time: 21 min read Exploring the Power of Lamini Memory Tuning

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📌 Journey to Full-Stack Data Scientist: Model Deployment 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-04 | ⏱️ Read time: 11 min read An introduction to productionizing a machine learning model using APIs and Docker.

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📌 Awesome Plotly with Code Series (Part 7): Cropping the y-axis in Bar Charts 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-05 | ⏱️ Read time: 10 min read Is there ever a good reason for starting a bar chart above zero?

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📌 Predicting a Ball Trajectory 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-05 | ⏱️ Read time: 7 min read Polynomial Fit in Python with NumPy

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📌 Google’s Willow Quantum Computing Chip: A Game Changer? 🗂 Category: PHYSICS 🕒 Date: 2025-01-06 | ⏱️ Read time: 12 min read Suppressing Logical Errors Exponentially! For the First Time

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📌 Measuring The Execution Times of C Versus Rust 🗂 Category: 🕒 Date: 2025-01-06 | ⏱️ Read time: 15 min read Is C is faster than Rust? I had always assumed the answer to that question…

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📌 Why Variable Scoping Can Make or Break Your Data Science Workflow 🗂 Category: 🕒 Date: 2025-01-06 | ⏱️ Read time: 7 min read Let’s kick off 2025 by writing some clean code together