Forwarded from Artificial Intelligence
𝟰 𝗙𝗿𝗲𝗲 𝗣𝘆𝘁𝗵𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗥𝗲𝘀𝘂𝗺𝗲 𝗶𝗻 𝟮𝟬𝟮𝟱😍
Want to Boost Your Resume with In-Demand Python Skills?👨💻
In today’s tech-driven world, Python is one of the most in-demand programming languages across data science, software development, and machine learning📊📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3Hnx3wh
Enjoy Learning ✅️
Want to Boost Your Resume with In-Demand Python Skills?👨💻
In today’s tech-driven world, Python is one of the most in-demand programming languages across data science, software development, and machine learning📊📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3Hnx3wh
Enjoy Learning ✅️
❤1
ChatGPT can help you land your dream job twice as fast. Here are 8 powerful ChatGPT prompts will 10X your interview chances.
Free book to master ChatGPT: https://news.1rj.ru/str/InterviewBooks/166
1. Customizing Your Resume ChatGPT prompt: "Can you make changes to my resume to fit the [Job Title] role at [Company]? Here's the job denoscription: [Paste Job Denoscription], and resume: [Paste Resume]."
2. Creating a Professional Summary ChatGPT prompt: "Using my resume, can you create a professional summary for me aligned to this [Job Title]." [Paste Resume]
3. Understanding Job Denoscriptions ChatGPT prompt: "What are the main responsibilities for this job? Please list the top three responsibilities required for [Job Title]." [Paste Job Denoscription]
4. Improving Your Resume Bullets ChatGPT prompt: "Please rewrite this bullet point from my resume using clear and impactful language while highlighting my accomplishments. [Paste Resume]"
5. Writing a LinkedIn Summary ChatGPT prompt: "Can you write a summary for my LinkedIn profile using my resume [Paste Resume]?"
6. Job Applications with ChatGPT ChatGPT prompt: "Can you identify my [Skills] experience from my resume [Paste Resume]? Please describe my specific [Skills] experience in conversational, clear language as if you were me."
7. Crafting Your Cover Letter ChatGPT prompt: "Can you write a personalized cover letter for the [Job Title] position at [Company]? Here's the job denoscription: [Paste Job Denoscription], and my current resume: [Paste Resume]."
8. Preparing for Interviews ChatGPT prompt: "What skills and experiences should I emphasize during an interview for the [Job Title] role in [Specific Industry]?"
ENJOY LEARNING 👍👍
Free book to master ChatGPT: https://news.1rj.ru/str/InterviewBooks/166
1. Customizing Your Resume ChatGPT prompt: "Can you make changes to my resume to fit the [Job Title] role at [Company]? Here's the job denoscription: [Paste Job Denoscription], and resume: [Paste Resume]."
2. Creating a Professional Summary ChatGPT prompt: "Using my resume, can you create a professional summary for me aligned to this [Job Title]." [Paste Resume]
3. Understanding Job Denoscriptions ChatGPT prompt: "What are the main responsibilities for this job? Please list the top three responsibilities required for [Job Title]." [Paste Job Denoscription]
4. Improving Your Resume Bullets ChatGPT prompt: "Please rewrite this bullet point from my resume using clear and impactful language while highlighting my accomplishments. [Paste Resume]"
5. Writing a LinkedIn Summary ChatGPT prompt: "Can you write a summary for my LinkedIn profile using my resume [Paste Resume]?"
6. Job Applications with ChatGPT ChatGPT prompt: "Can you identify my [Skills] experience from my resume [Paste Resume]? Please describe my specific [Skills] experience in conversational, clear language as if you were me."
7. Crafting Your Cover Letter ChatGPT prompt: "Can you write a personalized cover letter for the [Job Title] position at [Company]? Here's the job denoscription: [Paste Job Denoscription], and my current resume: [Paste Resume]."
8. Preparing for Interviews ChatGPT prompt: "What skills and experiences should I emphasize during an interview for the [Job Title] role in [Specific Industry]?"
ENJOY LEARNING 👍👍
❤5
Forwarded from Artificial Intelligence
𝗠𝗮𝘀𝘁𝗲𝗿 𝟲 𝗜𝗻-𝗗𝗲𝗺𝗮𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘!😍
Want to boost your career with highly sought-after tech skills? These 6 YouTube channels will help you learn from scratch!👨💻
No need for expensive courses—start learning for FREE today!🚀
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3Ddxd7P
Don’t miss this opportunity—start learning today and take your skills to the next level!✅️
Want to boost your career with highly sought-after tech skills? These 6 YouTube channels will help you learn from scratch!👨💻
No need for expensive courses—start learning for FREE today!🚀
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3Ddxd7P
Don’t miss this opportunity—start learning today and take your skills to the next level!✅️
❤1
Forwarded from Python Projects & Resources
𝗧𝗵𝗲 𝗕𝗲𝘀𝘁 𝗙𝗿𝗲𝗲 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗖𝗵𝗲𝗮𝘁 𝗦𝗵𝗲𝗲𝘁 𝗼𝗻 𝗚𝗶𝘁𝗛𝘂𝗯 𝗘𝘃𝗲𝗿𝘆 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿 𝗦𝗵𝗼𝘂𝗹𝗱 𝗕𝗼𝗼𝗸𝗺𝗮𝗿𝗸😍
🧠Master Data Science Faster with This Free GitHub Cheat Sheet🚀
Whether you’re starting your data science journey or preparing for job interviews, having the right revision tool can make all the difference🎯
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4klQmF3
Must-have resource for students and professionals✅️
🧠Master Data Science Faster with This Free GitHub Cheat Sheet🚀
Whether you’re starting your data science journey or preparing for job interviews, having the right revision tool can make all the difference🎯
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4klQmF3
Must-have resource for students and professionals✅️
❤1
This is a class from Harvard University:
"Introduction to Data Science with Python."
It's free. You should be familiar with Python to take this course.
The course is for beginners. It's for those who want to build a fundamental understanding of machine learning and artificial intelligence.
It covers some of these topics:
• Generalization and overfitting
• Model building, regularization, and evaluation
• Linear and logistic regression models
• k-Nearest Neighbor
• Scikit-Learn, NumPy, Pandas, and Matplotlib
Link: https://pll.harvard.edu/course/introduction-data-science-python
"Introduction to Data Science with Python."
It's free. You should be familiar with Python to take this course.
The course is for beginners. It's for those who want to build a fundamental understanding of machine learning and artificial intelligence.
It covers some of these topics:
• Generalization and overfitting
• Model building, regularization, and evaluation
• Linear and logistic regression models
• k-Nearest Neighbor
• Scikit-Learn, NumPy, Pandas, and Matplotlib
Link: https://pll.harvard.edu/course/introduction-data-science-python
❤2
Forwarded from Python Projects & Resources
𝟱 𝗠𝘂𝘀𝘁-𝗙𝗼𝗹𝗹𝗼𝘄 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗖𝗵𝗮𝗻𝗻𝗲𝗹𝘀 𝗳𝗼𝗿 𝗔𝘀𝗽𝗶𝗿𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁𝘀 𝗶𝗻 𝟮𝟬𝟮𝟱😍
Want to Become a Data Scientist in 2025? Start Here!🎯
If you’re serious about becoming a Data Scientist in 2025, the learning doesn’t have to be expensive — or boring!🚀
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4kfBR5q
Perfect for beginners and aspiring pros✅️
Want to Become a Data Scientist in 2025? Start Here!🎯
If you’re serious about becoming a Data Scientist in 2025, the learning doesn’t have to be expensive — or boring!🚀
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4kfBR5q
Perfect for beginners and aspiring pros✅️
𝗛𝗼𝘄 𝘁𝗼 𝗚𝗲𝘁 𝗦𝘁𝗮𝗿𝘁𝗲𝗱 𝗶𝗻 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝘄𝗶𝘁𝗵 𝗭𝗲𝗿𝗼 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲!🧠⚡
AI might sound complex. But guess what?
You don’t need a PhD or 5 years of experience to break into this field.
Here’s your 6-step beginner roadmap to launch your AI journey the smart way👇
🔹 𝗦𝘁𝗲𝗽 𝟭: Learn the Basics of Python (Your AI Superpower)
Python is the language of AI.
✅ Learn variables, loops, functions, and data structures
✅ Practice with platforms like W3Schools, SoloLearn, or Replit
✅ Understand NumPy & Pandas basics (they’ll be your go-to tools)
🔹 𝗦𝘁𝗲𝗽 𝟮: Understand What AI Really Is
Before diving deep, get clarity.
✅ What is AI vs ML vs Deep Learning?
✅ Learn core concepts like Supervised vs Unsupervised Learning
✅ Follow beginner-friendly YouTubers like “StatQuest” or “Codebasics”
🔹 𝗦𝘁𝗲𝗽 𝟯: Build Simple AI Projects (Even as a Beginner)
Start applying your skills with fun mini-projects:
✅ Spam Email Classifier
✅ House Price Predictor
✅ Rock-Paper-Scissors Game using AI
Pro Tip: Use scikit-learn for most of these!
🔹 𝗦𝘁𝗲𝗽 𝟰: Get Comfortable with Data (AI Runs on It!)
AI = Algorithms + Data
✅ Learn basic data cleaning with Pandas
✅ Explore simple datasets from Kaggle or UCI ML Repository
✅ Practice EDA (Exploratory Data Analysis) with Matplotlib & Seaborn
🔹 𝗦𝘁𝗲𝗽 𝟱: Take Free AI Courses (No Cost Learning)
You don’t need a fancy bootcamp to start learning.
✅ “AI For Everyone” by Andrew Ng (Coursera)
✅ “Machine Learning with Python” by IBM (edX)
✅ Kaggle’s Learn Track: Intro to ML
🔹 𝗦𝘁𝗲𝗽 𝟲: Join AI Communities & Share Your Work
✅ Join AI Discord servers, Reddit threads, and LinkedIn groups
✅ Post your projects on GitHub
✅ Engage in AI hackathons, challenges, and build in public
Your network = Your next opportunity.
🎯 𝗬𝗼𝘂𝗿 𝗙𝗶𝗿𝘀𝘁 𝗔𝗜 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 = 𝗬𝗼𝘂𝗿 𝗘𝗻𝘁𝗿𝘆 𝗣𝗼𝗶𝗻𝘁
It’s not about knowing everything—it’s about starting.
Consistency will compound.
You’ll go from “beginner” to “builder” faster than you think.
Free Artificial Intelligence Resources: https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E
#ai
AI might sound complex. But guess what?
You don’t need a PhD or 5 years of experience to break into this field.
Here’s your 6-step beginner roadmap to launch your AI journey the smart way👇
🔹 𝗦𝘁𝗲𝗽 𝟭: Learn the Basics of Python (Your AI Superpower)
Python is the language of AI.
✅ Learn variables, loops, functions, and data structures
✅ Practice with platforms like W3Schools, SoloLearn, or Replit
✅ Understand NumPy & Pandas basics (they’ll be your go-to tools)
🔹 𝗦𝘁𝗲𝗽 𝟮: Understand What AI Really Is
Before diving deep, get clarity.
✅ What is AI vs ML vs Deep Learning?
✅ Learn core concepts like Supervised vs Unsupervised Learning
✅ Follow beginner-friendly YouTubers like “StatQuest” or “Codebasics”
🔹 𝗦𝘁𝗲𝗽 𝟯: Build Simple AI Projects (Even as a Beginner)
Start applying your skills with fun mini-projects:
✅ Spam Email Classifier
✅ House Price Predictor
✅ Rock-Paper-Scissors Game using AI
Pro Tip: Use scikit-learn for most of these!
🔹 𝗦𝘁𝗲𝗽 𝟰: Get Comfortable with Data (AI Runs on It!)
AI = Algorithms + Data
✅ Learn basic data cleaning with Pandas
✅ Explore simple datasets from Kaggle or UCI ML Repository
✅ Practice EDA (Exploratory Data Analysis) with Matplotlib & Seaborn
🔹 𝗦𝘁𝗲𝗽 𝟱: Take Free AI Courses (No Cost Learning)
You don’t need a fancy bootcamp to start learning.
✅ “AI For Everyone” by Andrew Ng (Coursera)
✅ “Machine Learning with Python” by IBM (edX)
✅ Kaggle’s Learn Track: Intro to ML
🔹 𝗦𝘁𝗲𝗽 𝟲: Join AI Communities & Share Your Work
✅ Join AI Discord servers, Reddit threads, and LinkedIn groups
✅ Post your projects on GitHub
✅ Engage in AI hackathons, challenges, and build in public
Your network = Your next opportunity.
🎯 𝗬𝗼𝘂𝗿 𝗙𝗶𝗿𝘀𝘁 𝗔𝗜 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 = 𝗬𝗼𝘂𝗿 𝗘𝗻𝘁𝗿𝘆 𝗣𝗼𝗶𝗻𝘁
It’s not about knowing everything—it’s about starting.
Consistency will compound.
You’ll go from “beginner” to “builder” faster than you think.
Free Artificial Intelligence Resources: https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E
#ai
❤2🔥1
Forwarded from Artificial Intelligence
🎓 𝗟𝗲𝗮𝗿𝗻 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗳𝗼𝗿 𝗙𝗿𝗲𝗲 𝗳𝗿𝗼𝗺 𝗛𝗮𝗿𝘃𝗮𝗿𝗱, 𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱, 𝗠𝗜𝗧 & 𝗚𝗼𝗼𝗴𝗹𝗲😍
Why pay thousands when you can access world-class Computer Science courses for free? 🌐
Top institutions like Harvard, Stanford, MIT, and Google offer high-quality learning resources to help you master in-demand tech skills👨🎓📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3ZyQpFd
Perfect for students, self-learners, and career switchers✅️
Why pay thousands when you can access world-class Computer Science courses for free? 🌐
Top institutions like Harvard, Stanford, MIT, and Google offer high-quality learning resources to help you master in-demand tech skills👨🎓📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3ZyQpFd
Perfect for students, self-learners, and career switchers✅️
Why learn SQL if ChatGPT can write it?
A few reasons why you should still learn SQL:
1️⃣ An understanding of the nuances of SQL is necessary to ask the Large Language Model (”LLM”) the right questions to get a good response.
2️⃣ You have to double check the LLMs response. Sometimes I get answers that uses features that have been deprecated (probably because the LLM was trained on older data). It still makes mistakes and overcomplicates problems.
3️⃣ Making changes to the query requires an understanding of SQL. Without it, you might get stuck. It's important to understand the query's purpose.
So what do I use these LLMs for?
I find it a good starting point for syntax or query structure. Like “how would I use a window function to get the latest record in a table?” But it doesn’t understand my company’s data models, table relationships, or business logic. This is where my SQL + business knowledge comes in.
A few reasons why you should still learn SQL:
1️⃣ An understanding of the nuances of SQL is necessary to ask the Large Language Model (”LLM”) the right questions to get a good response.
2️⃣ You have to double check the LLMs response. Sometimes I get answers that uses features that have been deprecated (probably because the LLM was trained on older data). It still makes mistakes and overcomplicates problems.
3️⃣ Making changes to the query requires an understanding of SQL. Without it, you might get stuck. It's important to understand the query's purpose.
So what do I use these LLMs for?
I find it a good starting point for syntax or query structure. Like “how would I use a window function to get the latest record in a table?” But it doesn’t understand my company’s data models, table relationships, or business logic. This is where my SQL + business knowledge comes in.
❤1
ChatGPT Prompt to learn any skill
👇👇
(Tap on above text to copy)
👇👇
I am seeking to become an expert professional in [Making ChatGPT prompts perfectly]. I would like ChatGPT to provide me with a complete course on this subject, following the principles of Pareto principle and simulating the complexity, structure, duration, and quality of the information found in a college degree program at a prestigious university. The course should cover the following aspects: Course Duration: The course should be structured as a comprehensive program, spanning a duration equivalent to a full-time college degree program, typically four years. Curriculum Structure: The curriculum should be well-organized and divided into semesters or modules, progressing from beginner to advanced levels of proficiency. Each semester/module should have a logical flow and build upon the previous knowledge. Relevant and Accurate Information: The course should provide all the necessary and up-to-date information required to master the skill or knowledge area. It should cover both theoretical concepts and practical applications. Projects and Assignments: The course should include a series of hands-on projects and assignments that allow me to apply the knowledge gained. These projects should range in complexity, starting from basic exercises and gradually advancing to more challenging real-world applications. Learning Resources: ChatGPT should share a variety of learning resources, including textbooks, research papers, online tutorials, video lectures, practice exams, and any other relevant materials that can enhance the learning experience. Expert Guidance: ChatGPT should provide expert guidance throughout the course, answering questions, providing clarifications, and offering additional insights to deepen understanding. I understand that ChatGPT's responses will be generated based on the information it has been trained on and the knowledge it has up until September 2021. However, I expect the course to be as complete and accurate as possible within these limitations. Please provide the course syllabus, including a breakdown of topics to be covered in each semester/module, recommended learning resources, and any other relevant information(Tap on above text to copy)
❤2
𝗟𝗲𝗮𝗿𝗻 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗳𝗼𝗿 𝗙𝗿𝗲𝗲 𝗼𝗻 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 – 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗣𝗹𝗮𝘆𝗹𝗶𝘀𝘁 𝗚𝘂𝗶𝗱𝗲😍
🎥 YouTube is the ultimate free classroom—and this is your Data Analytics syllabus in one post!👨💻
From Python and SQL to Power BI, Machine Learning, and Data Science, these carefully curated playlists will take you from complete beginner to job-ready✨️📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4jzVggc
Enjoy Learning ✅️
🎥 YouTube is the ultimate free classroom—and this is your Data Analytics syllabus in one post!👨💻
From Python and SQL to Power BI, Machine Learning, and Data Science, these carefully curated playlists will take you from complete beginner to job-ready✨️📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4jzVggc
Enjoy Learning ✅️
❤1
How to get job as python fresher?
1. Get Your Python Fundamentals Strong
You should have a clear understanding of Python syntax, statements, variables & operators, control structures, functions & modules, OOP concepts, exception handling, and various other concepts before going out for a Python interview.
2. Learn Python Frameworks
As a beginner, you’re recommended to start with Django as it is considered the standard framework for Python by many developers. An adequate amount of experience with frameworks will not only help you to dive deeper into the Python world but will also help you to stand out among other Python freshers.
3. Build Some Relevant Projects
You can start it by building several minor projects such as Number guessing game, Hangman Game, Website Blocker, and many others. Also, you can opt to build few advanced-level projects once you’ll learn several Python web frameworks and other trending technologies.
@crackingthecodinginterview
4. Get Exposure to Trending Technologies Using Python.
Python is being used with almost every latest tech trend whether it be Artificial Intelligence, Internet of Things (IOT), Cloud Computing, or any other. And getting exposure to these upcoming technologies using Python will not only make you industry-ready but will also give you an edge over others during a career opportunity.
5. Do an Internship & Grow Your Network.
You need to connect with those professionals who are already working in the same industry in which you are aspiring to get into such as Data Science, Machine learning, Web Development, etc.
Python Interview Q&A: https://topmate.io/coding/898340
Like for more ❤️
ENJOY LEARNING 👍👍
1. Get Your Python Fundamentals Strong
You should have a clear understanding of Python syntax, statements, variables & operators, control structures, functions & modules, OOP concepts, exception handling, and various other concepts before going out for a Python interview.
2. Learn Python Frameworks
As a beginner, you’re recommended to start with Django as it is considered the standard framework for Python by many developers. An adequate amount of experience with frameworks will not only help you to dive deeper into the Python world but will also help you to stand out among other Python freshers.
3. Build Some Relevant Projects
You can start it by building several minor projects such as Number guessing game, Hangman Game, Website Blocker, and many others. Also, you can opt to build few advanced-level projects once you’ll learn several Python web frameworks and other trending technologies.
@crackingthecodinginterview
4. Get Exposure to Trending Technologies Using Python.
Python is being used with almost every latest tech trend whether it be Artificial Intelligence, Internet of Things (IOT), Cloud Computing, or any other. And getting exposure to these upcoming technologies using Python will not only make you industry-ready but will also give you an edge over others during a career opportunity.
5. Do an Internship & Grow Your Network.
You need to connect with those professionals who are already working in the same industry in which you are aspiring to get into such as Data Science, Machine learning, Web Development, etc.
Python Interview Q&A: https://topmate.io/coding/898340
Like for more ❤️
ENJOY LEARNING 👍👍
❤1
Forwarded from Artificial Intelligence
𝗦𝗤𝗟 𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍
Looking to master SQL for Data Analytics or prep for your dream tech job? 💼
These 3 Free SQL resources will help you go from beginner to job-ready—without spending a single rupee! 📊✨
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3TcvfsA
💥 Start learning today and build the skills top companies want!✅️
Looking to master SQL for Data Analytics or prep for your dream tech job? 💼
These 3 Free SQL resources will help you go from beginner to job-ready—without spending a single rupee! 📊✨
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3TcvfsA
💥 Start learning today and build the skills top companies want!✅️
5_6260478810370607322.pdf
2.6 MB
Pdf Resource:- How to get your first Data Science job
Source :- Springboard
Source :- Springboard
tom-lawry-ai-in-health-a-leader-s-guide-to-winning-in.pdf
9 MB
AI in Health
Tom Lawry, 2020
Tom Lawry, 2020
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