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PYTHON WORLD ( PYTHON | JAVA | C | C++ | HTML )

PYTHON WORLD ( PYTHON | JAVA | C | C++ | HTML )

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Senior Analyst at Capgemini Channel link :- https://t.me/python_world_in (You can share with friends) 👉 Get materials for MNC's. 👉 Off campus recruitment updates. 👉 Interview Experiences. 👉 And all the placement related information at

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📈 Telegram kanali PYTHON WORLD ( PYTHON | JAVA | C | C++ | HTML ) analitikasi

PYTHON WORLD ( PYTHON | JAVA | C | C++ | HTML ) (@python_world_in) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 14 430 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 8 953-o'rinni va Hindiston mintaqasida 30 065-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 14 430 obunachiga ega bo‘ldi.

13 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -196 ga, so‘nggi 24 soatda esa -7 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 14.23% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.15% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 2 054 marta ko‘riladi; birinchi sutkada odatda 311 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 0 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent internship, engineer, graduate, intern, analytic kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
Senior Analyst at Capgemini Channel link :- https://t.me/python_world_in (You can share with friends) 👉 Get materials for MNC's. 👉 Off campus recruitment updates. 👉 Interview Experiences. 👉 And all the placement related information at

Yuqori yangilanish chastotasi (oxirgi ma’lumot 14 Iyun, 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.

14 430
Obunachilar
-724 soatlar
-427 kunlar
-19630 kunlar
Postlar arxiv
Company: Zomato Role: Data Analyst Batch: 2025/2024/2023 Eligibility: Tech (Engineer etc) and Non-Tech (MBA etc) Link: https://docs.google.com/forms/d/e/1FAIpQLSe0OXZe8XqAZSjao-AcLRGuqjj_sfuFcwc2_TsDRWsA_VwnRA/viewform

PYTHON LECTURES TOPICS 30 + Hour python Course at only 49rs😯 https://python-world-in.mojo.page/pythonlectures- Introduction About Python Setup & Installation Basic of Python Data Type Operation on String Variables and Memory Management Comments and Constant Operators in Python Input Function and Math Module Introduction eval(), Command line Argument and Specifiers Decision Control Statements Pycharm Setup, Installation and Loops User Defined Functions List Tuple String Dictionary Exception handling Operator Overloading Database Programming File Handling Modules 30 + Hour python Course at only 49rs 😯 https://python-world-in.mojo.page/pythonlectures-

106 : Collaborative Filtering Model 107 : Consumer Complaints Analysis 108 : Customer Segmentation (Online) 109 : Customer Segmentation (Who...) 110 : Employee Turnover 111 : Granger Causality Test 112 : H2O Higgs Boson Analysis 113 : Machine Learning for Diabetes 114 : Movie Recommendation System 115 : Language Translation Model using ML 116 : U.S. Gasoline and Diesel Retail Prices Analysis 117 : Twitter Sentiment Analysis 118 : Image Captioning Project 119 : FIFA 21 Data Cleaning 120 : Drive Data Analysis 121 : Advanced Uses of SHAP Values 122 : Social Network Ads Result Analysis 123 : Captcha Recognition 124 : QR Code Readability 125 : Tokyo 2020 Monitor Tweets Analysis 126 : Tesla Car Price Prediction More +++ https://python-world-in.mojo.page/-machine-learning-project- Project

All 150 ML projects cost only 299rs https://python-world-in.mojo.page/-machine-learning-project- 1 : Adult Salary Prediction 2 : Bitcoin Price Prediction 3 : Boston Housing Analysis 4 : Indian-classical-dance problem using Machine 5 : Income Classification using ML 6 : IMDb Sentiment Review Analysis using ML 7 : Advanced Hyperparameter Tuning 8 : House Price Prediction Detailed Analysis 9 : (HealthCare) Heart Disease Prediction 10 : Titanic Problem Handling Missing Values 11 : Credit Card Fraud Problem Handling Imbalance 12 : Hand Digit Recognition Using ML 13 : Gold Price Prediction 14 : Fraud Detection Using ML 15 : Forecasting using ARIMA 16 : Flower Species Classification 17 : Flight Fare Prediction 18 : FIFA Data Analysis 19 : Fashion MNIST Data Analysis Using ML 20 : Face Mask Detection using ML 21 : Face Expression Identifier 22 : Employee Turnover Prediction 23 : Earthquake Prediction 24 : Dog Vs Cat Classification 25 : Advanced Credit Card Fraud Detection 26 : Cotton Disease Prediction 27 : NLP Disaster or Not Disaster 28 : Outliers Detection 29 : Plant Diseases Recognition 30 : Pneumonia Classification 31 : In-Depth Principal Component Analysis 32 : Rainfall Prediction 33 : (Conceptual Analysis) Select Right Threshold Value 34 : Live Smile Detector 35 : Spam Classifier 36 : Student Performance Analysis 37 : Text Summarization (Medium) 38 : Time Series Forecasting 39 : Time Series With LSTM 40 : Titanic Survival Prediction 41 : Tracking of COVID-19 42 : Traffic Sign Recognition 43 : Wine Quality Prediction 44 : XGBoost Algorithm 45 : Customer Segmentation 46 : Breast Cancer Detection 47 : Car And Pedestrian Tracker 48 : Car Price Prediction 49 : CIFAR-10 Classification 50 : 50 Startups Success Rate Prediction 51 : BigMart Sales Prediction Analysis - Regression 52 : Wine Quality Prediction Analysis - Classification 53 : Turkiye Student Evaluation Analysis - Clustering 54 : Traffic Forecast - Time Series Analysis 55 : Million Songs Dataset - Recommendation Engine 56 : Loan Prediction Analysis - Classification 57 : Iris Dataset Analysis - Classification 58 : Image to Text Conversion - OCR 59 : Cross Language Information Retrieval 60 : Digit Recognition (MNIST Sequence) 61 : Stock Market Analysis for Tech Stocks 62 : Titanic Dataset - Exploratory Analysis 63 : Medical Cost Personal 64 : Drinking Water Potability 65 : Groundhog Day Predictions 66 : Mall Customer Segmentation Data 67 : Wine Production Analysis 68 : Marketing Campaign Result Prediction 69 : Regression - First Innings Score Prediction (IPL) 70 : Image to Text Conversion - OCR 71 : Autoencoder Fashion MNIST 72 : Movie Recommendation Engine 73 : Spam Email Classification 74 : Traffic Sign Recognizer 75 : Regression - Black Friday Sales Prediction Analysis 76 : California Housing 77 : Ad Demand Forecast Avito 78 : Articles Recommendation System 79 : Autoencoder for Customer Churn 80 : Bayesian Logistic Regression (Bank Marketing) 81 : Bayesian Statistics with Python (PyMC3, ArviZ) 82 : BOW, TFIDF, XGBoost Update 83 : Breast Cancer Prediction 84 : (Conceptual) Machine Learning with spaCy 85 : Mercari Price Suggestion using LightGBM 86 : Modeling House Price with Regularized Linear Model 87 : (Conceptual) NHANES Confidence Intervals 88 : (Conceptual) NHANES Hypothesis Testing 89 : (Conceptual) Practical Statistics for Housing (Python Update) 90 : Price Elasticity of Demand Analysis 91 : Promotional Time Series 92 : PySpark Basic DataFrame Operations 93 : Recommender Systems - The Fundamentals 94 : (Conceptual) Regression Diagnostics 95 : Seattle Hotels Recommender 96 : Solving a Simple Classification Problem with Python 97 : Spark DataFrames Project Exercise (Udemy) 98 : (Conceptual) Supervised Learning - Part I 99 : Weather Data Clustering using ML 100 : (Conceptual) Working with Data 101 : (Conceptual) XGBoost with BOW, TFIDF 102 : Building Recommended System 103 : Building Recommender System 104 : CLV (Non-Contractual) 105 : CLV (Online Retail)

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PYTHON WORLD ( PYTHON | JAVA | C | C++ | HTML ) - Telegram kanali @python_world_in statistikasi va tahlili