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🔸This Channel is Only For Educational Purposes. No Copyright Infringement Intended. 🔸All the Credits & Rights Reserved to the Actual Owners. ✅ paid promotion DM @CODInitBot #studymaterial #interview #placement #notes #course #gate #freecourse #job

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FREE NOTES 🔖CODINIT🔖 (@cod_init) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 12 035 obunachidan iborat bo'lib, Taʼlim toifasida 16 504-o'rinni va Hindiston mintaqasida 32 709-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 12 035 obunachiga ega bo‘ldi.

01 Sentabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -171 ga, so‘nggi 24 soatda esa -3 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 0% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.32% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 0 marta ko‘riladi; birinchi sutkada odatda 279 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 0 ta reaksiya keladi.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
🔸This Channel is Only For Educational Purposes. No Copyright Infringement Intended. 🔸All the Credits & Rights Reserved to the Actual Owners. ✅ paid promotion DM @CODInitBot #studymaterial #interview #placement #notes #course #gate #freecourse #j...

Yuqori yangilanish chastotasi (oxirgi ma’lumot 02 Sentabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

12 035
Obunachilar
-324 soatlar
-347 kun
-17130 kun
Postlar arxiv
Sql Basic to Advanced.pdf

12 Steps You Should Follow to Become a Machine Learning Engineer If you're looking to start a career in machine learning engineering or considering a career switch, you should focus on the following key areas: Mathematics & Statistics: • Linear Algebra, Calculus, and Probability & Statistics: https://lnkd.in/eabKGp.p • OpenIntro Statistics - https://lnkd.in/eQvjgbmB 2-SQL & Databases: https://lnkd.in/ea2DmZ2d 3-Core Concepts of Machine Learning: • Google's ML Crash Course - https://lnkd.in/eT7NiGp6 • Andrew Ng's Coursera ML Course - https://lnkd.in/e964AC7Fast.al's Practical Deep Learning- https://course.fast.ai/ 4-Programming Skills (Python & Libraries): • Corey Schafer's Python Tutorials - https://lnkd.in/euyfHHxa • Scikit-learn- https://lnkd.in/eqFhCwXt • TensorFlow - https://lnkd.in/e6RWbe9h • PyTorch - https://lnkd.in/efhPxZPM 5- Model Training & Tuning Techniques: • Kaggle's Intermediate ML- https://lnkd.in/e89AmkzE • Hyperparameter Tuning- https://lnkd.in/ezEnqeG2 6-Advanced Deep Learning Models: • Stanford's CS231n (CNNs) - http://cs231n.github.io/ • Deep Learning Book- https://lnkd.in/e_utEgZM 7-Deployment, Monitoring, & Maintenance: • Docker - https://lnkd.in/esXHzx9k ⚫ Git - https://lnkd.in/esQBFMxS • AWS ML- https://lnkd.in/eZcdQPee ⚫ Azure ML - https://lnkd.in/e5fvmvtk 8-Resume Preparation Soft Skills & Tips: • Resume https://lnkd.in/eP7isRZF • Soft Skills & Tips: https://lnkd.in/e_xE4wdr 9- Machine Learning Projects: • https://lnkd.in/e5kyv3Tv These resources will help you build a strong foundation in machine learning, and develop the skills necessary to excel as a machine learning engineer. Remember, practice is key—so work on projects and apply your knowledge to real-world problems for the best learning experience. If you think I've missed something, please feel free to mention it in the comments section.

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