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Python.Advanced.Projects

Python.Advanced.Projects

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All Top Courses Related to Python, ML, DL Major and Minor Projects Available with step by step tutorials. Enroll here - www.digitaltanmay.com

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Malaysia4 592The category is not specified

📈 Analytical overview of Telegram channel Python.Advanced.Projects

Channel Python.Advanced.Projects (@pythonadvancedprojects) in the English language segment is an active participant. Currently, the community unites 18 908 subscribers, ranking in the Other category and 4 592 in the Malaysia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 18 908 subscribers.

According to the latest data from 29 May, 2025, the channel demonstrates stable activity. Although there has been a change in the number of participants by -176 over the last 30 days and by 0 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 0%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 0 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
All Top Courses Related to Python, ML, DL Major and Minor Projects Available with step by step tutorials. Enroll here - www.digitaltanmay.com

Thanks to the high frequency of updates (latest data received on 30 May, 2025), 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 Other category.

18 908
Subscribers
No data24 hours
-347 days
-17630 days
Posts Archive
Lesson 01.pdf1.63 KB

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pythonadvanceprojects@gmail.com For any queries

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www.digitaltanmay.com Introduction to Machine Learning, Supervised ML, Introduction to nearest Neighbours classifier, and handwritten digits recognition. 🔥 Project 1 - Handwritten digits recognition - PC App/Web App Development using tkinter and flask. 🔥 Project 2 - Face Recognition using support vector machine and principal component analysis.🔥 Project 3 - Predicting the risk of having heart disease using linear regression.🔥 Project 4 - Brain Tumor Detection using color segmentation with KMeans Clustering.🔥 Introduction to object detection with cascade classifier and 68 landmarks detection algorithm🔥 Project 5 - Vehicle detection and counting using cascade classifiers🔥 Lifetime Access to Tutorials and Certificate Of Completion Link to enrolll www.digitaltanmay.com

Features : ( GUI Project ) • You can Search Any Query it will give top results in sorted order. • It will also save history of your searches • If internet connection is not available it will open dino game you can play same feature available in google. • You can also customize your search results ( Check images ) • 4-6 Basic Functionality

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Learn to Build 5 Major Projects Step By Step With All Algorithms and Concepts Explained In Depth (Online Video Course) Lifeti
Learn to Build 5 Major Projects Step By Step With All Algorithms and Concepts Explained In Depth (Online Video Course) Lifetime Access Along with Certificate 🔥 Course Content ☑️Introduction to Machine Learning, Supervised ML, Introduction to nearest Neighbours classifier, and handwritten digits recognition. 🔴Project 1 - Handwritten digits recognition - PC App/Web App Development using tkinter and flask. 🔴Project 2 - Face Recognition using support vector machine and principal component analysis. 🔴Project 3 - Predicting the risk of having heart disease using linear regression. 🔴Project 4 - Brain Tumor Detection using color segmentation with KMeans Clustering. ☑️Introduction to object detection with cascade classifier and 68 landmarks detection algorithm 🔴Project 5 - Vehicle detection and counting using cascade classifiers 🟠Lifetime Access to Tutorials and Certificate Of Completion www.digitaltanmay.com

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Python-Basics-Handbook.pdf1.53 MB