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allcoding1_official

allcoding1_official

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📈 Analytical overview of Telegram channel allcoding1_official

Channel allcoding1_official (@allcoding1_official) in the English language segment is an active participant. Currently, the community unites 85 822 subscribers, ranking 1 503 in the Technologies & Applications category and 3 558 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 85 822 subscribers.

According to the latest data from 17 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -1 568 over the last 30 days and by -42 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 3.64%. Within the first 24 hours after publication, content typically collects 0.82% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 3 127 views. Within the first day, a publication typically gains 701 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
  • Thematic interests: Content is focused on key topics such as dsa, stack, namaste, javascript, dev.

📝 Description and content policy

Channel description not provided.

Thanks to the high frequency of updates (latest data received on 18 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

85 822
Subscribers
-4224 hours
-3887 days
-1 56830 days
Posts Archive

Ashok IT AWS Devops Azure Devops 30 rupees Contact:- @meterials_available

photo content
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Ashok IT AWS Devops Azure Devops 30 rupees Contact:- @meterials_available

photo content
+4

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

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; } }

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

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

S2: 4xy S7: 6 S12: 0 Q4: 1/2 S22: (2, 3) S28: Target/Mean Encoding S29: TimeSeriesSplit S38: 15 S43: 2/5 S59: Mode > Median > Mean ML - 2: The data has a Gaussian distribution ML - 7: Updating prior beliefs with observed data using Bayes' theorem ML - 12: The probability distribution over actions given states ML - 17: Internal covariate shift ML - 23: Boosting reduces bias, bagging reduces variance ML - 24: Binary Cross-Entropy S48: 30/84 S60: 150 S53: 2/3 S68: Prior × Likelihood

S2: 4xy S7: 6 S12: 0 Q4: 1/2 S22: (2, 3) S28: Target/Mean Encoding S29: TimeSeriesSplit S38: 15 S43: 2/5 S59: Mode > Median > Mean ML - 2: The data has a Gaussian distribution ML - 7: Updating prior beliefs with observed data using Bayes' theorem ML - 12: The probability distribution over actions given states ML - 17: Internal covariate shift ML - 23: Boosting reduces bias, bagging reduces variance ML - 24: Binary Cross-Entropy S48: 30/84 S60: 150 S53: 2/3 S68: Prior × Likelihood Amazon ML School 100% Correct MCQ Answers 10:30 AM

Mode>median>mean
Mode>median>mean

C
C

Prior x Likelihood
Prior x Likelihood

150
150

30/84
30/84

4
4

4xy
4xy