𝗕𝗲𝘀𝘁 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗖𝗵𝗮𝗻𝗻𝗲𝗹𝘀 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗘𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗦𝗸𝗶𝗹𝗹𝘀 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘😍
Dreaming of becoming a Data Analyst but feel overwhelmed by where to start?👨💻
Here’s the truth: YouTube is packed with goldmine content, and the best part — it’s all 100% FREE🔥
𝐋𝐢𝐧𝐤👇:-
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🚀 If You’re Serious About Data Analytics, You Can’t Sleep on These YouTube Channels!
Dreaming of becoming a Data Analyst but feel overwhelmed by where to start?👨💻
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🚀 If You’re Serious About Data Analytics, You Can’t Sleep on These YouTube Channels!
👍1
If you're building AI agents, you should get familiar with these 3 common agent/workflow patterns.
Let's break it down.
🔹 Reflection
You give the agent an input.
The agent then "reflects" on its output, and based on feedback, improves and refines.
Ideal tools to use:
- Base model (e.g. GPT-4o)
- Fine-tuned model (to give feedback)
- n8n to set up the agent.
🔹 RAG-based
You give the agent a task.
The agent has the ability to query an external knowledge base to retrieve specific information needed.
Ideal tools to use:
- Vector Database (e.g. Pinecone).
- UI-based RAG (Aidbase is the #1 tool).
- API-based RAG (SourceSync is a new player on the market, highly promising).
🔹 AI Workflow
This is a "traditional" automation workflow that uses AI to carry out subtasks as part of the flow.
Ideal tools to use:
- n8n to handle the workflow.
- GPT-4o, Claude, or other models that can be accessed through API (basic HTTP requests).
If you can master these 3 patterns well, you can solve a very broad range of different problems.
Let's break it down.
🔹 Reflection
You give the agent an input.
The agent then "reflects" on its output, and based on feedback, improves and refines.
Ideal tools to use:
- Base model (e.g. GPT-4o)
- Fine-tuned model (to give feedback)
- n8n to set up the agent.
🔹 RAG-based
You give the agent a task.
The agent has the ability to query an external knowledge base to retrieve specific information needed.
Ideal tools to use:
- Vector Database (e.g. Pinecone).
- UI-based RAG (Aidbase is the #1 tool).
- API-based RAG (SourceSync is a new player on the market, highly promising).
🔹 AI Workflow
This is a "traditional" automation workflow that uses AI to carry out subtasks as part of the flow.
Ideal tools to use:
- n8n to handle the workflow.
- GPT-4o, Claude, or other models that can be accessed through API (basic HTTP requests).
If you can master these 3 patterns well, you can solve a very broad range of different problems.
👍6
Forwarded from Python Projects & Resources
𝗧𝗖𝗦 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗢𝗻 𝗗𝗮𝘁𝗮 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 - 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘😍
Want to know how top companies handle massive amounts of data without losing track? 📊
TCS is offering a FREE beginner-friendly course on Master Data Management, and yes—it comes with a certificate! 🎓
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4jGFBw0
Just click and start learning!✅️
Want to know how top companies handle massive amounts of data without losing track? 📊
TCS is offering a FREE beginner-friendly course on Master Data Management, and yes—it comes with a certificate! 🎓
𝐋𝐢𝐧𝐤👇:-
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Just click and start learning!✅️
👍1
𝟱 𝗙𝗿𝗲𝗲 𝗪𝗲𝗯𝘀𝗶𝘁𝗲𝘀 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝗿𝗼𝗺 𝗦𝗰𝗿𝗮𝘁𝗰𝗵 𝗶𝗻 𝟮𝟬𝟮𝟱 (𝗡𝗼 𝗜𝗻𝘃𝗲𝘀𝘁𝗺𝗲𝗻𝘁 𝗡𝗲𝗲𝗱𝗲𝗱!)😍
If you’re serious about starting your tech journey, Python is one of the best languages to master👨💻👨🎓
I’ve found 5 hidden gems that offer beginner tutorials, advanced exercises, and even real-world projects — absolutely FREE🔥
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Start today, and you’ll thank yourself tomorrow.✅️
If you’re serious about starting your tech journey, Python is one of the best languages to master👨💻👨🎓
I’ve found 5 hidden gems that offer beginner tutorials, advanced exercises, and even real-world projects — absolutely FREE🔥
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4lOVqmb
Start today, and you’ll thank yourself tomorrow.✅️
👍3
mastering-react-native-beginners.pdf
5.9 MB
Mastering React Native
Sufyan bin Uzayr, 2023
Sufyan bin Uzayr, 2023
Applied+Geospatial+Data+Science+with+Python.pdf
19.4 MB
Applied Geospatial Data Science with Python
David S. Jordan, 2023
David S. Jordan, 2023
NETWORK_SCIENCE___PYTHON.pdf
24.1 MB
Network Science with Python
David Knickerbocker, 2023
David Knickerbocker, 2023
Create Graphical User Interfaces with Python (1).pdf
11.3 MB
✅ Book : Create Graphical User Interfaces with Python – How to build windows, buttons, and widgets for your Python projects
✅ Download now 🚀
✅ Download now 🚀
Python Machine Learning Projects - 2023.pdf
6.7 MB
Python Machine Learning Projects
Deepali R. Vora, 2023
Deepali R. Vora, 2023
🔥2❤1👍1
Forwarded from Artificial Intelligence
𝗚𝗼𝗼𝗴𝗹𝗲 𝗙𝗥𝗘𝗘 𝗔𝗜 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍
Ever wondered how machines describe images in words?💻
Want to get hands-on with cutting-edge AI and computer vision — for FREE?🎊
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/42FaT0Y
🎯 Start Learning AI for FREE
Ever wondered how machines describe images in words?💻
Want to get hands-on with cutting-edge AI and computer vision — for FREE?🎊
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/42FaT0Y
🎯 Start Learning AI for FREE
👍1
Basics of Machine Learning 👇👇
Free Resources to learn Machine Learning: https://news.1rj.ru/str/free4unow_backup/587
Machine learning is a branch of artificial intelligence where computers learn from data to make decisions without explicit programming. There are three main types:
1. Supervised Learning: The algorithm is trained on a labeled dataset, learning to map input to output. For example, it can predict housing prices based on features like size and location.
2. Unsupervised Learning: The algorithm explores data patterns without explicit labels. Clustering is a common task, grouping similar data points. An example is customer segmentation for targeted marketing.
3. Reinforcement Learning: The algorithm learns by interacting with an environment. It receives feedback in the form of rewards or penalties, improving its actions over time. Gaming AI and robotic control are applications.
Key concepts include:
- Features and Labels: Features are input variables, and labels are the desired output. The model learns to map features to labels during training.
- Training and Testing: The model is trained on a subset of data and then tested on unseen data to evaluate its performance.
- Overfitting and Underfitting: Overfitting occurs when a model is too complex and fits the training data too closely, performing poorly on new data. Underfitting happens when the model is too simple and fails to capture the underlying patterns.
- Algorithms: Different algorithms suit various tasks. Common ones include linear regression for predicting numerical values, and decision trees for classification tasks.
In summary, machine learning involves training models on data to make predictions or decisions. Supervised learning uses labeled data, unsupervised learning finds patterns in unlabeled data, and reinforcement learning learns through interaction with an environment. Key considerations include features, labels, overfitting, underfitting, and choosing the right algorithm for the task.
Join @datasciencefun for more
ENJOY LEARNING 👍👍
Free Resources to learn Machine Learning: https://news.1rj.ru/str/free4unow_backup/587
Machine learning is a branch of artificial intelligence where computers learn from data to make decisions without explicit programming. There are three main types:
1. Supervised Learning: The algorithm is trained on a labeled dataset, learning to map input to output. For example, it can predict housing prices based on features like size and location.
2. Unsupervised Learning: The algorithm explores data patterns without explicit labels. Clustering is a common task, grouping similar data points. An example is customer segmentation for targeted marketing.
3. Reinforcement Learning: The algorithm learns by interacting with an environment. It receives feedback in the form of rewards or penalties, improving its actions over time. Gaming AI and robotic control are applications.
Key concepts include:
- Features and Labels: Features are input variables, and labels are the desired output. The model learns to map features to labels during training.
- Training and Testing: The model is trained on a subset of data and then tested on unseen data to evaluate its performance.
- Overfitting and Underfitting: Overfitting occurs when a model is too complex and fits the training data too closely, performing poorly on new data. Underfitting happens when the model is too simple and fails to capture the underlying patterns.
- Algorithms: Different algorithms suit various tasks. Common ones include linear regression for predicting numerical values, and decision trees for classification tasks.
In summary, machine learning involves training models on data to make predictions or decisions. Supervised learning uses labeled data, unsupervised learning finds patterns in unlabeled data, and reinforcement learning learns through interaction with an environment. Key considerations include features, labels, overfitting, underfitting, and choosing the right algorithm for the task.
Join @datasciencefun for more
ENJOY LEARNING 👍👍
👍2
Forwarded from Generative AI
𝟳 𝗙𝗿𝗲𝗲 𝗢𝗻𝗹𝗶𝗻𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗨𝗽𝗴𝗿𝗮𝗱𝗲 𝗬𝗼𝘂𝗿 𝗥𝗲𝘀𝘂𝗺𝗲 𝗶𝗻 𝟮𝟬𝟮𝟱😍
💼 Want to Upgrade Your Resume in 2025 — Without Spending a Dime?💫
Whether you’re in tech, marketing, business, or just looking to stand out — adding high-quality certifications to your resume can make a huge difference📄
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4iE6uzT
The best part? You don’t need to spend any money to do it💰📌
💼 Want to Upgrade Your Resume in 2025 — Without Spending a Dime?💫
Whether you’re in tech, marketing, business, or just looking to stand out — adding high-quality certifications to your resume can make a huge difference📄
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4iE6uzT
The best part? You don’t need to spend any money to do it💰📌
👍1
Python Data Science Handbook
Python Data Science Handbook: full text in Jupyter Notebooks. This repository contains the entire Python Data Science Handbook, in the form of (free!) Jupyter notebooks.
Creator: Jake Vanderplas
Stars⭐️: 39k
Fork: 17.1K
Repo: https://github.com/jakevdp/PythonDataScienceHandbook
For more, join https://news.1rj.ru/str/pythonanalyst
Python Data Science Handbook: full text in Jupyter Notebooks. This repository contains the entire Python Data Science Handbook, in the form of (free!) Jupyter notebooks.
Creator: Jake Vanderplas
Stars⭐️: 39k
Fork: 17.1K
Repo: https://github.com/jakevdp/PythonDataScienceHandbook
For more, join https://news.1rj.ru/str/pythonanalyst
👍1
𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍
Whether you’re a student, fresher, or professional looking to upskill — Microsoft has dropped a series of completely free courses to get you started.
Learn SQL ,Power BI & More In 2025
𝗟𝗶𝗻𝗸:-👇
https://pdlink.in/42FxnyM
Enroll For FREE & Get Certified 🎓
Whether you’re a student, fresher, or professional looking to upskill — Microsoft has dropped a series of completely free courses to get you started.
Learn SQL ,Power BI & More In 2025
𝗟𝗶𝗻𝗸:-👇
https://pdlink.in/42FxnyM
Enroll For FREE & Get Certified 🎓
❤2👍1
Forwarded from Generative AI
𝟲 𝗙𝗿𝗲𝗲 𝗔𝗜 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗨𝗽𝘀𝗸𝗶𝗹𝗹 𝗜𝗻 𝟮𝟬𝟮𝟱😍
Whether you’re a student, aspiring data analyst, software enthusiast, or just curious about AI, now’s the perfect time to dive in.
These 6 beginner-friendly and completely free AI courses from top institutions like Google, IBM, Harvard, and more
𝗟𝗶𝗻𝗸:-👇
https://pdlink.in/4d0SrTG
Enroll for FREE & Get Certified 🎓
Whether you’re a student, aspiring data analyst, software enthusiast, or just curious about AI, now’s the perfect time to dive in.
These 6 beginner-friendly and completely free AI courses from top institutions like Google, IBM, Harvard, and more
𝗟𝗶𝗻𝗸:-👇
https://pdlink.in/4d0SrTG
Enroll for FREE & Get Certified 🎓
Monetizing Your Data Analytics Skills: Side Hustles & Passive Income Streams
Once you've mastered data analytics, you can leverage your expertise to generate income beyond your 9-to-5 job. Here’s how:
1️⃣ Freelancing & Consulting 💼
Offer data analytics, visualization, or SQL expertise on platforms like Upwork, Fiverr, and Toptal.
Provide business intelligence solutions, dashboard building, or data cleaning services.
Work with startups, small businesses, and enterprises remotely.
2️⃣ Creating & Selling Online Courses 🎥
Teach SQL, Power BI, Python, or Data Visualization on platforms like Udemy, Coursera, and Teachable.
Offer exclusive workshops or bootcamps via LinkedIn, Gumroad, or your website.
Monetize your expertise once and earn passive income forever.
3️⃣ Blogging & Technical Writing ✍️
Write data-related articles on Medium, Towards Data Science, or Substack.
Start a newsletter focused on analytics trends and career growth.
Earn through Medium Partner Program, sponsored posts, or affiliate marketing.
4️⃣ YouTube & Social Media Monetization 📹
Create a YouTube channel sharing tutorials on SQL, Power BI, Python, and real-world analytics projects.
Monetize through ads, sponsorships, and memberships.
Grow a LinkedIn, Twitter, or Instagram audience and collaborate with brands.
5️⃣ Affiliate Marketing in Data Analytics 🔗
Promote courses, books, tools (Tableau, Power BI, Python IDEs) and earn commissions.
Join Udemy, Coursera, or DataCamp affiliate programs.
Recommend data tools, laptops, or online learning resources through blogs or YouTube.
6️⃣ Selling Templates & Dashboards 📊
Create Power BI or Tableau templates and sell them on Gumroad or Etsy.
Offer SQL query libraries, Excel automation noscripts, or data storytelling templates.
Provide customized analytics solutions for different industries.
7️⃣ Writing E-books or Guides 📖
Publish an e-book on SQL, Power BI, or breaking into data analytics.
Sell through Amazon Kindle, Gumroad, or your website.
Provide case studies, real-world datasets, and practice problems.
8️⃣ Building a Subnoscription-Based Community 🌍
Create a private Slack, Discord, or Telegram group for data professionals.
Charge for premium access, mentorship, and exclusive content.
Offer live Q&A sessions, job referrals, and networking opportunities.
9️⃣ Developing & Selling AI-Powered Tools 🤖
Build Python noscripts, automation tools, or AI-powered analytics apps.
Sell on GitHub, Gumroad, or AppSumo.
Offer API-based solutions for businesses needing automated insights.
🔟 Landing Paid Speaking Engagements & Workshops 🎤
Speak at data conferences, webinars, and corporate training events.
Offer paid workshops for businesses or universities.
Become a recognized expert in your niche and command high fees.
Start Small, Scale Fast! 🚀
The data analytics field offers endless opportunities to earn beyond a job. Start with freelancing, content creation, or digital products—then scale it into a business!
Hope it helps :)
#dataanalytics
Once you've mastered data analytics, you can leverage your expertise to generate income beyond your 9-to-5 job. Here’s how:
1️⃣ Freelancing & Consulting 💼
Offer data analytics, visualization, or SQL expertise on platforms like Upwork, Fiverr, and Toptal.
Provide business intelligence solutions, dashboard building, or data cleaning services.
Work with startups, small businesses, and enterprises remotely.
2️⃣ Creating & Selling Online Courses 🎥
Teach SQL, Power BI, Python, or Data Visualization on platforms like Udemy, Coursera, and Teachable.
Offer exclusive workshops or bootcamps via LinkedIn, Gumroad, or your website.
Monetize your expertise once and earn passive income forever.
3️⃣ Blogging & Technical Writing ✍️
Write data-related articles on Medium, Towards Data Science, or Substack.
Start a newsletter focused on analytics trends and career growth.
Earn through Medium Partner Program, sponsored posts, or affiliate marketing.
4️⃣ YouTube & Social Media Monetization 📹
Create a YouTube channel sharing tutorials on SQL, Power BI, Python, and real-world analytics projects.
Monetize through ads, sponsorships, and memberships.
Grow a LinkedIn, Twitter, or Instagram audience and collaborate with brands.
5️⃣ Affiliate Marketing in Data Analytics 🔗
Promote courses, books, tools (Tableau, Power BI, Python IDEs) and earn commissions.
Join Udemy, Coursera, or DataCamp affiliate programs.
Recommend data tools, laptops, or online learning resources through blogs or YouTube.
6️⃣ Selling Templates & Dashboards 📊
Create Power BI or Tableau templates and sell them on Gumroad or Etsy.
Offer SQL query libraries, Excel automation noscripts, or data storytelling templates.
Provide customized analytics solutions for different industries.
7️⃣ Writing E-books or Guides 📖
Publish an e-book on SQL, Power BI, or breaking into data analytics.
Sell through Amazon Kindle, Gumroad, or your website.
Provide case studies, real-world datasets, and practice problems.
8️⃣ Building a Subnoscription-Based Community 🌍
Create a private Slack, Discord, or Telegram group for data professionals.
Charge for premium access, mentorship, and exclusive content.
Offer live Q&A sessions, job referrals, and networking opportunities.
9️⃣ Developing & Selling AI-Powered Tools 🤖
Build Python noscripts, automation tools, or AI-powered analytics apps.
Sell on GitHub, Gumroad, or AppSumo.
Offer API-based solutions for businesses needing automated insights.
🔟 Landing Paid Speaking Engagements & Workshops 🎤
Speak at data conferences, webinars, and corporate training events.
Offer paid workshops for businesses or universities.
Become a recognized expert in your niche and command high fees.
Start Small, Scale Fast! 🚀
The data analytics field offers endless opportunities to earn beyond a job. Start with freelancing, content creation, or digital products—then scale it into a business!
Hope it helps :)
#dataanalytics
👍3❤1
Forwarded from Python Projects & Resources
𝗟𝗼𝗼𝗸𝗶𝗻𝗴 𝘁𝗼 𝘀𝘁𝗮𝗿𝘁 𝘆𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗷𝗼𝘂𝗿𝗻𝗲𝘆 𝗶𝗻 𝟮𝟬𝟮𝟱?😍
📊 These free courses are designed for learners at all levels, whether you’re a beginner or an advanced professional📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/41Y1WQm
Don’t Wait! Start your Learning Journey Today✅️
📊 These free courses are designed for learners at all levels, whether you’re a beginner or an advanced professional📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/41Y1WQm
Don’t Wait! Start your Learning Journey Today✅️
👍1
Hi guys,
Many people charge too much to teach Excel, Power BI, SQL, Python & Tableau but my mission is to break down barriers. I have shared complete learning series to start your data analytics journey from scratch.
For those of you who are new to this channel, here are some quick links to navigate this channel easily.
Data Analyst Learning Plan 👇
https://news.1rj.ru/str/sqlspecialist/752
Python Learning Plan 👇
https://news.1rj.ru/str/sqlspecialist/749
Power BI Learning Plan 👇
https://news.1rj.ru/str/sqlspecialist/745
SQL Learning Plan 👇
https://news.1rj.ru/str/sqlspecialist/738
SQL Learning Series 👇
https://news.1rj.ru/str/sqlspecialist/567
Excel Learning Series 👇
https://news.1rj.ru/str/sqlspecialist/664
Power BI Learning Series 👇
https://news.1rj.ru/str/sqlspecialist/768
Python Learning Series 👇
https://news.1rj.ru/str/sqlspecialist/615
Tableau Essential Topics 👇
https://news.1rj.ru/str/sqlspecialist/667
Free Data Analytics Resources 👇
https://news.1rj.ru/str/datasimplifier
You can find more resources on Medium & Linkedin
Like for more ❤️
Thanks to all who support our channel and share it with friends & loved ones. You guys are really amazing.
Hope it helps :)
Many people charge too much to teach Excel, Power BI, SQL, Python & Tableau but my mission is to break down barriers. I have shared complete learning series to start your data analytics journey from scratch.
For those of you who are new to this channel, here are some quick links to navigate this channel easily.
Data Analyst Learning Plan 👇
https://news.1rj.ru/str/sqlspecialist/752
Python Learning Plan 👇
https://news.1rj.ru/str/sqlspecialist/749
Power BI Learning Plan 👇
https://news.1rj.ru/str/sqlspecialist/745
SQL Learning Plan 👇
https://news.1rj.ru/str/sqlspecialist/738
SQL Learning Series 👇
https://news.1rj.ru/str/sqlspecialist/567
Excel Learning Series 👇
https://news.1rj.ru/str/sqlspecialist/664
Power BI Learning Series 👇
https://news.1rj.ru/str/sqlspecialist/768
Python Learning Series 👇
https://news.1rj.ru/str/sqlspecialist/615
Tableau Essential Topics 👇
https://news.1rj.ru/str/sqlspecialist/667
Free Data Analytics Resources 👇
https://news.1rj.ru/str/datasimplifier
You can find more resources on Medium & Linkedin
Like for more ❤️
Thanks to all who support our channel and share it with friends & loved ones. You guys are really amazing.
Hope it helps :)
👍4❤1
Forwarded from Python Projects & Resources
𝗗𝗲𝗹𝗼𝗶𝘁𝘁𝗲 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗙𝗥𝗘𝗘 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 😍
If you’re eager to build real skills in data analytics before landing your first role, Deloitte is giving you a golden opportunity—completely free!
💡 No prior experience required
📚 Ideal for students, freshers, and aspiring data analysts
⏰ Self-paced — complete at your convenience
🔗 𝗔𝗽𝗽𝗹𝘆 𝗛𝗲𝗿𝗲 (𝗙𝗿𝗲𝗲)👇:-
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