Forwarded from Learn Python Coding
๐ ๐ฎ๐๐๐ฒ๐ฟ_๐ฃ๐๐๐ต๐ผ๐ป_๐๐ต๐ฒ_๐ฅ๐ถ๐ด๐ต๐_๐ช๐ฎ๐.pdf
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Master Python the Right Way โ Without Procrastination. ๐โจ
When I first started learning Python, I quickly realized:
You can't master a programming language just by reading syntax or watching tutorials. ๐๐ซ
Real growth happens when you practice, build, and solve problems on your own. ๐ ๐ป
That's exactly why I've compiled a collection of Python programs โ designed to take you from basics to advanced logic-building. ๐๐ง
What is this collection about? ๐ค
โ๏ธ Beginner to advanced programs with clear explanations
โ๏ธ Pattern-based exercises to strengthen core fundamentals
โ๏ธ Problem-solving programs that sharpen logical thinking
Why is this important? ๐
You don't just learn "how to code", you start learning "how to think like a programmer". ๐ง โก๏ธ
This is perfect for: ๐ฏ
โข Preparing for technical interviews ๐ค
โข Participating in coding challenges ๐
โข Building real-world Python projects ๐
https://t.me/pythonRe
When I first started learning Python, I quickly realized:
You can't master a programming language just by reading syntax or watching tutorials. ๐๐ซ
Real growth happens when you practice, build, and solve problems on your own. ๐ ๐ป
That's exactly why I've compiled a collection of Python programs โ designed to take you from basics to advanced logic-building. ๐๐ง
What is this collection about? ๐ค
โ๏ธ Beginner to advanced programs with clear explanations
โ๏ธ Pattern-based exercises to strengthen core fundamentals
โ๏ธ Problem-solving programs that sharpen logical thinking
Why is this important? ๐
You don't just learn "how to code", you start learning "how to think like a programmer". ๐ง โก๏ธ
This is perfect for: ๐ฏ
โข Preparing for technical interviews ๐ค
โข Participating in coding challenges ๐
โข Building real-world Python projects ๐
https://t.me/pythonRe
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๐ฅ Convolutional Neural Networks: Clearly explained!
๐ผ Convolutional Neural Networks (CNNs): CNNs belong to the deep learning methods with layers like convolutional, pooling, and fully-connected layers that transform input images for recognition.
โก๏ธ Feedforward Process: Data flows from input to output layers. Images undergo convolution operations, ReLu activation, and Max-Pooling to reduce size and enhance translation and scaling invariance. Finally, data is classified through a fully connected network.
๐ Training Process: The training involves batches, backpropagation, and gradient descent to minimize errors. The weights start with random values and are updated through backpropagation. This cycle repeats until accuracy is achieved.
๐ Use Cases: CNNs excel in processing images, videos, and audio for tasks like classification, segmentation, and object detection.
โ ๏ธ Limitations: While CNNs handle translation and scaling well, they struggle with rotation invariance.
Want to learn more about CNNs?
Then, check out super-detailed article about it.๐
https://lnkd.in/eyA_DnYj
https://t.me/CodeProgrammer๐ง
๐ผ Convolutional Neural Networks (CNNs): CNNs belong to the deep learning methods with layers like convolutional, pooling, and fully-connected layers that transform input images for recognition.
โก๏ธ Feedforward Process: Data flows from input to output layers. Images undergo convolution operations, ReLu activation, and Max-Pooling to reduce size and enhance translation and scaling invariance. Finally, data is classified through a fully connected network.
๐ Training Process: The training involves batches, backpropagation, and gradient descent to minimize errors. The weights start with random values and are updated through backpropagation. This cycle repeats until accuracy is achieved.
๐ Use Cases: CNNs excel in processing images, videos, and audio for tasks like classification, segmentation, and object detection.
โ ๏ธ Limitations: While CNNs handle translation and scaling well, they struggle with rotation invariance.
Want to learn more about CNNs?
Then, check out super-detailed article about it.
https://lnkd.in/eyA_DnYj
https://t.me/CodeProgrammer
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Unlock Your AI Career
Join our Data Science Full Stack with AI Course โ a real-time, project-based online training designed for hands-on mastery.
Core Topics Covered
โข Data Science using Python with Generative AI: Build end-to-end data pipelines, from data wrangling to deploying AI models with Python libraries like Pandas, Scikit-learn, and Hugging Face transformers.
โข Prompt Engineering: Craft precise prompts to maximize output from models like GPT and Gemini for accurate, creative results.
โข AI Agents & Agentic AI: Develop autonomous agents that reason, plan, and act using frameworks like Lang Chain for real-world automation.
Why Choose This Course?
This training emphasizes live sessions, industry projects, and practical skills for immediate job impact, similar to top programs offering 100+ hours of Python-to-AI progression.
Ready to start? Call/WhatsApp: (+91)-7416877757
WhatsApp Link:-
http://wa.me/+917416877757
Join our Data Science Full Stack with AI Course โ a real-time, project-based online training designed for hands-on mastery.
Core Topics Covered
โข Data Science using Python with Generative AI: Build end-to-end data pipelines, from data wrangling to deploying AI models with Python libraries like Pandas, Scikit-learn, and Hugging Face transformers.
โข Prompt Engineering: Craft precise prompts to maximize output from models like GPT and Gemini for accurate, creative results.
โข AI Agents & Agentic AI: Develop autonomous agents that reason, plan, and act using frameworks like Lang Chain for real-world automation.
Why Choose This Course?
This training emphasizes live sessions, industry projects, and practical skills for immediate job impact, similar to top programs offering 100+ hours of Python-to-AI progression.
Ready to start? Call/WhatsApp: (+91)-7416877757
WhatsApp Link:-
http://wa.me/+917416877757
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Machine Learning Specialization โ Study Notes & Labs ๐ ๐ฌ
Personal notes and lab notebooks from the Machine Learning Specialization by DeepLearning.AI & Stanford Online (Coursera), instructed by Prof. Andrew Ng.๐งโ๐
๐ Repo: https://github.com/TruongDat05/machine-learning-notes-and-code
https://t.me/CodeProgrammer๐
Personal notes and lab notebooks from the Machine Learning Specialization by DeepLearning.AI & Stanford Online (Coursera), instructed by Prof. Andrew Ng.
https://t.me/CodeProgrammer
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๐ Thesis โข Dissertation โข Research โข Programming โข Simulation
From a single research ideaโฆ
to a complete academic masterpiece.
๐น Professional assistance for:
โ๏ธ Masterโs & PhD Theses
โ๏ธ ISI / Scopus Articles
โ๏ธ Research Proposals & Methodology
โ๏ธ Data Analysis & Statistical Modeling
โ๏ธ AI & Machine Learning Projects
โ๏ธ MATLAB โข Python โข Simulink โข Abaqus โข COMSOL โข Ansys โข ETAP โข PSCAD โข HOMER โข Proteus โข LabVIEW
โ๏ธ Electrical, Civil, Mechanical, Medical, Management, Computer Science & All Engineering Fields
โ๏ธ Rare & High-Quality Datasets
โ๏ธ Simulation Projects & Optimization Algorithms
โ๏ธ Academic Presentation Design
โ๏ธ Journal Revision & Reviewer Response Preparation
๐ Accurate Results
๐ Professional Documentation
๐ป Clean & Structured Coding
๐ Full Confidentiality
โณ On-Time Delivery
Your research deserves more than copy-paste work.
It deserves precision, originality, and engineering-level thinking.
โจ Turning complex ideas into publishable research.
๐ฉ Contact us for consultation and project evaluation.
https://t.me/Omidyzd62
From a single research ideaโฆ
to a complete academic masterpiece.
๐น Professional assistance for:
โ๏ธ Masterโs & PhD Theses
โ๏ธ ISI / Scopus Articles
โ๏ธ Research Proposals & Methodology
โ๏ธ Data Analysis & Statistical Modeling
โ๏ธ AI & Machine Learning Projects
โ๏ธ MATLAB โข Python โข Simulink โข Abaqus โข COMSOL โข Ansys โข ETAP โข PSCAD โข HOMER โข Proteus โข LabVIEW
โ๏ธ Electrical, Civil, Mechanical, Medical, Management, Computer Science & All Engineering Fields
โ๏ธ Rare & High-Quality Datasets
โ๏ธ Simulation Projects & Optimization Algorithms
โ๏ธ Academic Presentation Design
โ๏ธ Journal Revision & Reviewer Response Preparation
๐ Accurate Results
๐ Professional Documentation
๐ป Clean & Structured Coding
๐ Full Confidentiality
โณ On-Time Delivery
Your research deserves more than copy-paste work.
It deserves precision, originality, and engineering-level thinking.
โจ Turning complex ideas into publishable research.
๐ฉ Contact us for consultation and project evaluation.
https://t.me/Omidyzd62
โค9๐2๐ฅ2
๐ AI / ML / DL Learning Resources Hub ๐ค๐ง
A structured, end-to-end roadmap to master AI โ from fundamentals to cutting-edge research. ๐
A carefully curated, all-in-one repository designed to help Computer Science students, AI enthusiasts, and professionals ๐ฉโ๐ป๐จโ๐ป who want to build strong foundations and progress confidently from beginner to advanced levels ๐. This hub brings together the high-quality books ๐, courses ๐, playlists ๐ต, research papers ๐, tools ๐ , and learning roadmaps ๐บ covering: Artificial Intelligence, Machine Learning, Deep Learning, Data Science ๐, Transformers, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and MLOps ๐, all organized in a clear, practical, and industry-relevant manner.
The resources are selected to balance theory ๐ง , intuition ๐ก, and real-world application ๐, allowing learners to follow modules sequentially or in parallel โณ based on their goals.
โญ๏ธ Recommended resources highlight high-impact content widely used in academia ๐, research ๐ฌ, and industry ๐ญ, ensuring you focus on what truly matters in modern AI.
๐ Repo: https://github.com/bishwaghimire/ai-learning-roadmaps
By: https://t.me/CodeProgrammer
A structured, end-to-end roadmap to master AI โ from fundamentals to cutting-edge research. ๐
A carefully curated, all-in-one repository designed to help Computer Science students, AI enthusiasts, and professionals ๐ฉโ๐ป๐จโ๐ป who want to build strong foundations and progress confidently from beginner to advanced levels ๐. This hub brings together the high-quality books ๐, courses ๐, playlists ๐ต, research papers ๐, tools ๐ , and learning roadmaps ๐บ covering: Artificial Intelligence, Machine Learning, Deep Learning, Data Science ๐, Transformers, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and MLOps ๐, all organized in a clear, practical, and industry-relevant manner.
The resources are selected to balance theory ๐ง , intuition ๐ก, and real-world application ๐, allowing learners to follow modules sequentially or in parallel โณ based on their goals.
โญ๏ธ Recommended resources highlight high-impact content widely used in academia ๐, research ๐ฌ, and industry ๐ญ, ensuring you focus on what truly matters in modern AI.
By: https://t.me/CodeProgrammer
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โค9๐2๐2
๐ Thesis โข Dissertation โข Research โข Programming โข Simulation
From a single research ideaโฆ
to a complete academic masterpiece.
๐น Professional assistance for:
โ๏ธ Masterโs & PhD Theses
โ๏ธ ISI / Scopus Articles
โ๏ธ Research Proposals & Methodology
โ๏ธ Data Analysis & Statistical Modeling
โ๏ธ AI & Machine Learning Projects
โ๏ธ MATLAB โข Python โข Simulink โข Abaqus โข COMSOL โข Ansys โข ETAP โข PSCAD โข HOMER โข Proteus โข LabVIEW
โ๏ธ Electrical, Civil, Mechanical, Medical, Management, Computer Science & All Engineering Fields
โ๏ธ Rare & High-Quality Datasets
โ๏ธ Simulation Projects & Optimization Algorithms
โ๏ธ Academic Presentation Design
โ๏ธ Journal Revision & Reviewer Response Preparation
๐ Accurate Results
๐ Professional Documentation
๐ป Clean & Structured Coding
๐ Full Confidentiality
โณ On-Time Delivery
Your research deserves more than copy-paste work.
It deserves precision, originality, and engineering-level thinking.
โจ Turning complex ideas into publishable research.
๐ฉ Contact us for consultation and project evaluation.
https://t.me/Omidyzd62
From a single research ideaโฆ
to a complete academic masterpiece.
๐น Professional assistance for:
โ๏ธ Masterโs & PhD Theses
โ๏ธ ISI / Scopus Articles
โ๏ธ Research Proposals & Methodology
โ๏ธ Data Analysis & Statistical Modeling
โ๏ธ AI & Machine Learning Projects
โ๏ธ MATLAB โข Python โข Simulink โข Abaqus โข COMSOL โข Ansys โข ETAP โข PSCAD โข HOMER โข Proteus โข LabVIEW
โ๏ธ Electrical, Civil, Mechanical, Medical, Management, Computer Science & All Engineering Fields
โ๏ธ Rare & High-Quality Datasets
โ๏ธ Simulation Projects & Optimization Algorithms
โ๏ธ Academic Presentation Design
โ๏ธ Journal Revision & Reviewer Response Preparation
๐ Accurate Results
๐ Professional Documentation
๐ป Clean & Structured Coding
๐ Full Confidentiality
โณ On-Time Delivery
Your research deserves more than copy-paste work.
It deserves precision, originality, and engineering-level thinking.
โจ Turning complex ideas into publishable research.
๐ฉ Contact us for consultation and project evaluation.
https://t.me/Omidyzd62
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