allcoding1
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تُعد قناة allcoding1 (@allcoding1) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 20 926 مشتركاً، محتلاً المرتبة 9 601 في فئة التعليم والمرتبة 19 588 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 20 926 مشتركاً.
بحسب آخر البيانات بتاريخ 16 أكتوبر, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -412، وفي آخر 24 ساعة بمقدار -9، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 1.07%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.05% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 223 مشاهدة. وخلال اليوم الأول يجمع عادةً 220 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 1.
- الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل dsa, stack, namaste, javascript, learning.
📝 الوصف وسياسة المحتوى
وصف القناة غير متوفر.
بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 17 أكتوبر, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.
20 926
المشتركون
-924 ساعات
-997 أيام
-41230 أيام
أرشيف المشاركات
20 927
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✅ Coding Shuttle - DSA Prime 3.0, Java Spring Boot 0 to 100, Java React Full Stack Course
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✅ Sheryians Coding School - Frontend Domination, Backend Domination, Three.js Domination
✅ Algocamp - Lambda 3.0 - Backend, Cloud & DevOps, Hands-on System Design HLD + LLD, Advanced Full Stack Web Development, DSA with JavaScript, Java Spring Bootcamp, Frontend with React.js, Master Java + DSA + Backend
✅ Neat Root - Android App Development
✅ TLE Eliminators - Level 1, Level 2, Level 3, Level 4
✅ iNeuron - Full Stack Blockchain, Full Stack Java, Full Stack JavaScript, DevOps Pro, Full Stack Python Web Dev, System Design Patterns, Cyber Security Full Stack
✅ Programming Pathshala - Master Data Structures & Algorithms, Master Low-Level Design
✅ Logic Mojo - Interview Cracking
✅ Swag Developer - DSA with Java
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✅ Ayush Singh - ML Course
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✅ DSA, High and Low Level System Design by Get SDE Ready
✅ Mera Placement Hoga
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✅ Campus X - Deep Learning for Computer Vision
✅ Cuvette - Placement and Job Guarantee Courses (Full Stack Web Development)
✅ Code Basic - Data Analyst 4.0
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DM to Get Access
It's a private group
200 rupees
Contact:- @meterials_available
20 927
Repost from allcoding1_official
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AWS
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Azure Devops
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20 927
Company: IBM
Role: Software Engineer
Experience: 0–1 Year
Location: India
Direct Apply Link: https://ibmglobal.avature.net/en_US/careers/JobDetail/Software-Engineer/49537
20 927
Repost from allcoding1_official
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20 927
Repost from allcoding1_official
⏰ Last Day to Claim – Only 25 Seats Left!
🎓 Become a Certified Data Analyst for Just ₹399
Course by LearnTube | Backed by Google
🚀 Why Join?
✅ Recognized Certificate (Google, Amazon & More)
✅ 40+ Hours | 150+ Lessons
✅ No Experience Needed – Perfect for Beginners
✅ Real Projects: Predictive Analytics, Fraud Detection & More
📘 What You’ll Learn:
🔹 Data Visualization (Tableau, Power BI)
🔹 Machine Learning Basics
🔹 Big Data Tools (Hadoop, Spark)
🔹 Python, R, SQL, Excel
💥 Get Job-Ready + Lifetime Access
🎯 Enroll Now – Just ₹399!
🔥 Offer Ends Tonight!
📲 Tap Below to Join Now 👇
https://tinyurl.com/CompleteDataAnalyticsXCoACD
20 927
Company: EY ( Ernst & Young)
Role: Tech Analyst
CTC: 12-15 lakhs
Batch: 2025
Apply:
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20 927
Courses from Top Educators & Platforms:
✅ Codehelp Course - Data Structure & Algorithm Bootcamp, Supreme-3.0, Low-Level System Design BootCamp, Supra
✅ Coding Shuttle - DSA Prime 3.0, Java Spring Boot 0 to 100, Java React Full Stack Course
✅ Harkiraat Course - Complete Web Development + DevOps + Blockchain Cohort
✅ Namaste Dev - Namaste React, Namaste Node.js, Namaste Frontend System Design
✅ Sheryians Coding School - Frontend Domination, Backend Domination, Three.js Domination
✅ Algocamp - Lambda 3.0 - Backend, Cloud & DevOps, Hands-on System Design HLD + LLD, Advanced Full Stack Web Development, DSA with JavaScript, Java Spring Bootcamp, Frontend with React.js, Master Java + DSA + Backend
✅ Neat Root - Android App Development
✅ TLE Eliminators - Level 1, Level 2, Level 3, Level 4
✅ iNeuron - Full Stack Blockchain, Full Stack Java, Full Stack JavaScript, DevOps Pro, Full Stack Python Web Dev, System Design Patterns, Cyber Security Full Stack
✅ Programming Pathshala - Master Data Structures & Algorithms, Master Low-Level Design
✅ Logic Mojo - Interview Cracking
✅ Swag Developer - DSA with Java
✅ Log2Base2 - DSA with Java, DSA with C++, DSA with JavaScript
✅ Geeks for Geeks - Complete Interview Preparation, DSA Self-Paced, JAVA Backend Development
✅ Applied AI - Applied Machine Learning, Diploma in AI and ML, GATE CS Blended Course
✅ Apna College - Delta - Full Stack Web Dev, Alpha - DSA with Java, Alpha Plus Plus
✅ Naresh IT - All Courses
✅ Durgasoft - All Courses
✅ Pep Coding - All Courses
✅ Scaler Academy - All Courses
✅ PrepInsta - All Courses
✅ Coding Ninja - All Courses
✅ Coding Blocks - All Courses
✅ WsCube - All Courses
✅ Pw Skills - All Courses
✅ Relevel - All Courses
✅ Ayush Singh - ML Course
✅ Code Eater - Full Stack Blockchain
✅ Prepinsta Prime - All Courses
✅ DSA, High and Low Level System Design by Get SDE Ready
✅ Mera Placement Hoga
✅ Data Engineering by DataWithDrashil
✅ Campus X - Deep Learning for Computer Vision
✅ Cuvette - Placement and Job Guarantee Courses (Full Stack Web Development)
✅ Code Basic - Data Analyst 4.0
✅ TechTFQ - SQL
✅ Tap Academy - All Courses
✅ Bosscoder - MERN Web Development, DSA In JAVA, C++, and Python
✅ Smart Programming - All Courses
DM to Get Access!
200 rupees
Contact:- @meterials_available
20 927
Kill the enemy
C++
Amazon 1.15 PM
#include <vector>
#include <algorithm>
int solve(std::vector<int> &A, int B) {
long long m1 = 0, m2 = 0;
for (int val : A) {
if (val > m1) {
m2 = m1;
m1 = val;
} else if (val > m2) {
m2 = val;
}
}
long long b = B;
long long s = m1 + m2;
if (s == 0) {
return b > 0 ? -1 : 0;
}
long long k = b / s;
int ans = k * 2;
long long rem = b % s;
if (rem == 0) {
return ans;
} else if (rem <= m1) {
return ans + 1;
} else {
return ans + 2;
}
}
20 927
M1: Encode sequential order
T1: Regularization
M16: Likelihood × Prior
ML2: SGD can escape local minima due to its noisy updates
ML3: Recursive Feature Elimination (RFE)
ML4: Gini Index
M4: It overfits the training data
M7: 0
M2: Strong negative linear relationship
S13: No real solution
S17: Local minimum
S23: Converges by Limit Comparison with 1/n²
S30: Collect recent user data and evaluate model drift
S31: Data leakage inflated model performance
S39: 6/216
Amazon ML School MCQ Answers 1:15 PM
