𝟱 𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗚𝗶𝘁𝗛𝘂𝗯 𝗥𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝗶𝗲𝘀 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝗼𝗿 𝗙𝗿𝗲𝗲😍
Looking to Master Python for Free?✨️
These 5 GitHub repositories are all you need to level up — from beginner to advanced! 💻
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3FG7DcW
📌 Save this post & share it with a Python learner!
Looking to Master Python for Free?✨️
These 5 GitHub repositories are all you need to level up — from beginner to advanced! 💻
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3FG7DcW
📌 Save this post & share it with a Python learner!
❤1
𝟲 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗧𝗼 𝗖𝗵𝗮𝗻𝗴𝗲 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝗜𝗻 𝟮𝟬𝟮𝟱 😍
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Check out 6 handpicked, beginner-friendly courses in high-demand fields like Data Science, Web Development, Digital Marketing, Project Management, and more. 🚀
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💥 Start learning today and build the skills top companies want!✅️
🎯 Want to switch careers or upgrade your skills — without spending a single rupee?
Check out 6 handpicked, beginner-friendly courses in high-demand fields like Data Science, Web Development, Digital Marketing, Project Management, and more. 🚀
𝐋𝐢𝐧𝐤👇:-
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💥 Start learning today and build the skills top companies want!✅️
❤1
Are you looking to become a machine learning engineer? The algorithm brought you to the right place! 📌
I created a free and comprehensive roadmap. Let's go through this thread and explore what you need to know to become an expert machine learning engineer:
Math & Statistics
Just like most other data roles, machine learning engineering starts with strong foundations from math, precisely linear algebra, probability and statistics.
Here are the probability units you will need to focus on:
Basic probability concepts statistics
Inferential statistics
Regression analysis
Experimental design and A/B testing Bayesian statistics
Calculus
Linear algebra
Python:
You can choose Python, R, Julia, or any other language, but Python is the most versatile and flexible language for machine learning.
Variables, data types, and basic operations
Control flow statements (e.g., if-else, loops)
Functions and modules
Error handling and exceptions
Basic data structures (e.g., lists, dictionaries, tuples)
Object-oriented programming concepts
Basic work with APIs
Detailed data structures and algorithmic thinking
Machine Learning Prerequisites:
Exploratory Data Analysis (EDA) with NumPy and Pandas
Basic data visualization techniques to visualize the variables and features.
Feature extraction
Feature engineering
Different types of encoding data
Machine Learning Fundamentals
Using scikit-learn library in combination with other Python libraries for:
Supervised Learning: (Linear Regression, K-Nearest Neighbors, Decision Trees)
Unsupervised Learning: (K-Means Clustering, Principal Component Analysis, Hierarchical Clustering)
Reinforcement Learning: (Q-Learning, Deep Q Network, Policy Gradients)
Solving two types of problems:
Regression
Classification
Neural Networks:
Neural networks are like computer brains that learn from examples, made up of layers of "neurons" that handle data. They learn without explicit instructions.
Types of Neural Networks:
Feedforward Neural Networks: Simplest form, with straight connections and no loops.
Convolutional Neural Networks (CNNs): Great for images, learning visual patterns.
Recurrent Neural Networks (RNNs): Good for sequences like text or time series, because they remember past information.
In Python, it’s the best to use TensorFlow and Keras libraries, as well as PyTorch, for deeper and more complex neural network systems.
Deep Learning:
Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled.
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)
Long Short-Term Memory Networks (LSTMs)
Generative Adversarial Networks (GANs)
Autoencoders
Deep Belief Networks (DBNs)
Transformer Models
Machine Learning Project Deployment
Machine learning engineers should also be able to dive into MLOps and project deployment. Here are the things that you should be familiar or skilled at:
Version Control for Data and Models
Automated Testing and Continuous Integration (CI)
Continuous Delivery and Deployment (CD)
Monitoring and Logging
Experiment Tracking and Management
Feature Stores
Data Pipeline and Workflow Orchestration
Infrastructure as Code (IaC)
Model Serving and APIs
Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624
Credits: https://news.1rj.ru/str/datasciencefun
Like if you need similar content 😄👍
Hope this helps you 😊
I created a free and comprehensive roadmap. Let's go through this thread and explore what you need to know to become an expert machine learning engineer:
Math & Statistics
Just like most other data roles, machine learning engineering starts with strong foundations from math, precisely linear algebra, probability and statistics.
Here are the probability units you will need to focus on:
Basic probability concepts statistics
Inferential statistics
Regression analysis
Experimental design and A/B testing Bayesian statistics
Calculus
Linear algebra
Python:
You can choose Python, R, Julia, or any other language, but Python is the most versatile and flexible language for machine learning.
Variables, data types, and basic operations
Control flow statements (e.g., if-else, loops)
Functions and modules
Error handling and exceptions
Basic data structures (e.g., lists, dictionaries, tuples)
Object-oriented programming concepts
Basic work with APIs
Detailed data structures and algorithmic thinking
Machine Learning Prerequisites:
Exploratory Data Analysis (EDA) with NumPy and Pandas
Basic data visualization techniques to visualize the variables and features.
Feature extraction
Feature engineering
Different types of encoding data
Machine Learning Fundamentals
Using scikit-learn library in combination with other Python libraries for:
Supervised Learning: (Linear Regression, K-Nearest Neighbors, Decision Trees)
Unsupervised Learning: (K-Means Clustering, Principal Component Analysis, Hierarchical Clustering)
Reinforcement Learning: (Q-Learning, Deep Q Network, Policy Gradients)
Solving two types of problems:
Regression
Classification
Neural Networks:
Neural networks are like computer brains that learn from examples, made up of layers of "neurons" that handle data. They learn without explicit instructions.
Types of Neural Networks:
Feedforward Neural Networks: Simplest form, with straight connections and no loops.
Convolutional Neural Networks (CNNs): Great for images, learning visual patterns.
Recurrent Neural Networks (RNNs): Good for sequences like text or time series, because they remember past information.
In Python, it’s the best to use TensorFlow and Keras libraries, as well as PyTorch, for deeper and more complex neural network systems.
Deep Learning:
Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled.
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)
Long Short-Term Memory Networks (LSTMs)
Generative Adversarial Networks (GANs)
Autoencoders
Deep Belief Networks (DBNs)
Transformer Models
Machine Learning Project Deployment
Machine learning engineers should also be able to dive into MLOps and project deployment. Here are the things that you should be familiar or skilled at:
Version Control for Data and Models
Automated Testing and Continuous Integration (CI)
Continuous Delivery and Deployment (CD)
Monitoring and Logging
Experiment Tracking and Management
Feature Stores
Data Pipeline and Workflow Orchestration
Infrastructure as Code (IaC)
Model Serving and APIs
Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624
Credits: https://news.1rj.ru/str/datasciencefun
Like if you need similar content 😄👍
Hope this helps you 😊
❤1
Forwarded from Artificial Intelligence
𝗟𝗲𝗮𝗿𝗻 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 𝘄𝗶𝘁𝗵 𝗛𝗮𝗿𝘃𝗮𝗿𝗱 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆😍
🎯 Want to break into Data Science without spending a single rupee?💰
Harvard University is offering a goldmine of free courses that make top-tier education accessible to anyone, anywhere👨💻✨️
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3HxOgTW
These courses are designed by Ivy League experts and are trusted by thousands globally✅️
🎯 Want to break into Data Science without spending a single rupee?💰
Harvard University is offering a goldmine of free courses that make top-tier education accessible to anyone, anywhere👨💻✨️
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3HxOgTW
These courses are designed by Ivy League experts and are trusted by thousands globally✅️
❤1
𝐈𝐁𝐌 𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬😍
🚀 Dive into the world of Data Analytics with these 6 free courses by IBM!
Gain practical knowledge and stand out in your career with tools designed for real-world applications.
All courses come with expert guidance and are free to access!🎉
𝐋𝐢𝐧𝐤 👇:-
https://bit.ly/4iXOmmb
Enroll For FREE & Get Certified 🎓
🚀 Dive into the world of Data Analytics with these 6 free courses by IBM!
Gain practical knowledge and stand out in your career with tools designed for real-world applications.
All courses come with expert guidance and are free to access!🎉
𝐋𝐢𝐧𝐤 👇:-
https://bit.ly/4iXOmmb
Enroll For FREE & Get Certified 🎓
Use these prompts to finish more work in 2 hours than 95% of people do in 2 weeks:
1. Solve complex problems using First Principles Thinking Framework:
Prompt: “I am having difficulty learning [insert topic]. Help me understand it better by using First Principles Thinking. Break down the topic into its most fundamental principles and build a clear, logical understanding from the ground up.”
ChatGPT PROMPTS
2. Ask ChatGPT to help you become better at using ChatGPT:
Prompt: “Create a comprehensive beginner’s guide to using ChatGPT, covering essential topics such as crafting effective prompts, priming the AI, and utilizing different personas. Provide detailed explanations and include practical examples. The guide should be concise, no longer than 500 words.”
3. Save time by summarizing long texts and documents:
Prompt: “Summarize the text below into a concise overview, highlighting the key insights and most important facts in a bullet-point list. Ensure the summary captures the essence and main points of the text.
[Insert text] “
4. Learn and develop any new skill:
Prompt: “I want to learn / get better at [insert desired skill]. I am a complete beginner. Create a detailed 30-day learning plan that includes daily tasks and goals to help a beginner like me learn and improve this skill effectively.”
5. Create a winning resume to help you land your next job:
Prompt: “Analyze my professional details below and create a persuasive resume tailored for the position of [enter job details]. Ensure the resume highlights my strengths and relevant experiences to increase my chances of securing this job.
[Enter your professional details] “
6. Train ChatGPT to generate prompts for you:
Prompt: “I’m new to using ChatGPT and I am a [insert your profession]. Generate a list of the 10 best prompts that will help me be more productive and efficient in my role. Ensure the prompts are tailored to the typical tasks and challenges of my profession.”
7. Improve your writing by getting specific feedback:
Prompt:
“[Paste your writing]
Proofread my writing above. Correct any grammar and spelling mistakes. Additionally, provide constructive suggestions to improve the clarity, coherence, and overall quality of my writing.”
8. Resume Customization:
Prompt: “Customize my resume for the [Job Title] position at [Company], ensuring it aligns with their specific requirements. Highlight my relevant skills and experiences, and tailor the resume to match the job denoscription provided.
[Paste Job Denoscription]
[Paste Resume] “
9. Use stories and metaphors to aid your memory:
Prompt: “I am currently learning about [insert topic]. Convert the key lessons and concepts from this topic into engaging stories and metaphors that will make it easier for me to understand and remember the material.”
10. Accelerate your career by learning from the best:
Prompt: “Analyze the top performers in [insert your field of work]. Identify the most important lessons and strategies that have contributed to their success. Provide a list of actionable insights that I can apply to boost my productivity and advance my career.”
ChatGPT PROMPTS
1. Solve complex problems using First Principles Thinking Framework:
Prompt: “I am having difficulty learning [insert topic]. Help me understand it better by using First Principles Thinking. Break down the topic into its most fundamental principles and build a clear, logical understanding from the ground up.”
ChatGPT PROMPTS
2. Ask ChatGPT to help you become better at using ChatGPT:
Prompt: “Create a comprehensive beginner’s guide to using ChatGPT, covering essential topics such as crafting effective prompts, priming the AI, and utilizing different personas. Provide detailed explanations and include practical examples. The guide should be concise, no longer than 500 words.”
3. Save time by summarizing long texts and documents:
Prompt: “Summarize the text below into a concise overview, highlighting the key insights and most important facts in a bullet-point list. Ensure the summary captures the essence and main points of the text.
[Insert text] “
4. Learn and develop any new skill:
Prompt: “I want to learn / get better at [insert desired skill]. I am a complete beginner. Create a detailed 30-day learning plan that includes daily tasks and goals to help a beginner like me learn and improve this skill effectively.”
5. Create a winning resume to help you land your next job:
Prompt: “Analyze my professional details below and create a persuasive resume tailored for the position of [enter job details]. Ensure the resume highlights my strengths and relevant experiences to increase my chances of securing this job.
[Enter your professional details] “
6. Train ChatGPT to generate prompts for you:
Prompt: “I’m new to using ChatGPT and I am a [insert your profession]. Generate a list of the 10 best prompts that will help me be more productive and efficient in my role. Ensure the prompts are tailored to the typical tasks and challenges of my profession.”
7. Improve your writing by getting specific feedback:
Prompt:
“[Paste your writing]
Proofread my writing above. Correct any grammar and spelling mistakes. Additionally, provide constructive suggestions to improve the clarity, coherence, and overall quality of my writing.”
8. Resume Customization:
Prompt: “Customize my resume for the [Job Title] position at [Company], ensuring it aligns with their specific requirements. Highlight my relevant skills and experiences, and tailor the resume to match the job denoscription provided.
[Paste Job Denoscription]
[Paste Resume] “
9. Use stories and metaphors to aid your memory:
Prompt: “I am currently learning about [insert topic]. Convert the key lessons and concepts from this topic into engaging stories and metaphors that will make it easier for me to understand and remember the material.”
10. Accelerate your career by learning from the best:
Prompt: “Analyze the top performers in [insert your field of work]. Identify the most important lessons and strategies that have contributed to their success. Provide a list of actionable insights that I can apply to boost my productivity and advance my career.”
ChatGPT PROMPTS
❤1
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VIEW IN TELEGRAM
MEE6 in Telegram 🔥
🤖 T22 - The best-in-class telegram group bot!
Stop juggling bots —T22 is MissRose x GroupHelp x Safeguard with a mini-app dashboard!
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📈 Leveling System
💬 Smart Welcome Flows
🐦 Twitter Raids
🧠 Mini-App Dashboard
📦 Miss Rose Config Importer
Discover T22 🆓
By MEE6 Creator
🤖 T22 - The best-in-class telegram group bot!
Stop juggling bots —T22 is MissRose x GroupHelp x Safeguard with a mini-app dashboard!
🔐 Verification & Captcha
🛡 Advanced Moderation Tools
📈 Leveling System
💬 Smart Welcome Flows
🐦 Twitter Raids
🧠 Mini-App Dashboard
📦 Miss Rose Config Importer
Discover T22 🆓
By MEE6 Creator
❤2
Forwarded from Artificial Intelligence
𝟰 𝗛𝗶𝗴𝗵-𝗜𝗺𝗽𝗮𝗰𝘁 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗟𝗮𝘂𝗻𝗰𝗵 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟱😍
These globally recognized certifications from platforms like Google, IBM, Microsoft, and DataCamp are beginner-friendly, industry-aligned, and designed to make you job-ready in just a few weeks
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4kC18XE
These courses help you gain hands-on experience — exactly what top MNCs look for!✅️
These globally recognized certifications from platforms like Google, IBM, Microsoft, and DataCamp are beginner-friendly, industry-aligned, and designed to make you job-ready in just a few weeks
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4kC18XE
These courses help you gain hands-on experience — exactly what top MNCs look for!✅️
Try this powerful AI prompt...
It can create Instagram captions that people actually read...
And with IG Captions being one of the most underrated elements for increasing:
- Reach (through IG SEO)
- Engagement (by providing context)
- Sales (by building trust + automation)
This prompt can change the game for you on Instagram...
And it works on ChatGPT, Gemini, Copilot, Claude...
(and any other LLM)
Just copy and paste it and enjoy the results...
1️⃣ First, we set the persona 👇
1️⃣ The persona is:
"Assume the role of a skilled storyteller and Instagram marketing expert specializing in creating captivating captions that resonate with specific audiences"
2️⃣ Then we state our expectations:
"Your task is to develop an Instagram caption under 2200 characters for my brand, but first, you need to understand the intricacies of my brand's goals, niche, audience, and tone"
3️⃣ Afterwards, we ask it to customise the outcome by 👇
3️⃣Instructing it to ask us 10 questions + restricting data hallucination:
"Please begin by asking me 10 questions to gather essential information, providing multiple choice answers, and remembering my responses. Don’t hallucinate"
4️⃣We are almost there, next we 👇
4️⃣Teach the bot what a good caption looks like:
"After receiving the answers, proceed to create a caption that:
- Starts with an attention-grabbing hook.
- Utilizes storytelling to connect with the audience.
- Seamlessly highlights the featured product/service.
- Employs emotive language for greater impact.
- Concludes with a clear and compelling call-to-action"
5️⃣And lastly we👇
5️⃣Summarise everything + set a "firing" rule: |
"The caption should mirror the brand’s identity and engage and inspire the audience, prompting interaction and connection with your brand’s message. You will be fired if you supply a generic caption"
It can create Instagram captions that people actually read...
And with IG Captions being one of the most underrated elements for increasing:
- Reach (through IG SEO)
- Engagement (by providing context)
- Sales (by building trust + automation)
This prompt can change the game for you on Instagram...
And it works on ChatGPT, Gemini, Copilot, Claude...
(and any other LLM)
Just copy and paste it and enjoy the results...
1️⃣ First, we set the persona 👇
1️⃣ The persona is:
"Assume the role of a skilled storyteller and Instagram marketing expert specializing in creating captivating captions that resonate with specific audiences"
2️⃣ Then we state our expectations:
"Your task is to develop an Instagram caption under 2200 characters for my brand, but first, you need to understand the intricacies of my brand's goals, niche, audience, and tone"
3️⃣ Afterwards, we ask it to customise the outcome by 👇
3️⃣Instructing it to ask us 10 questions + restricting data hallucination:
"Please begin by asking me 10 questions to gather essential information, providing multiple choice answers, and remembering my responses. Don’t hallucinate"
4️⃣We are almost there, next we 👇
4️⃣Teach the bot what a good caption looks like:
"After receiving the answers, proceed to create a caption that:
- Starts with an attention-grabbing hook.
- Utilizes storytelling to connect with the audience.
- Seamlessly highlights the featured product/service.
- Employs emotive language for greater impact.
- Concludes with a clear and compelling call-to-action"
5️⃣And lastly we👇
5️⃣Summarise everything + set a "firing" rule: |
"The caption should mirror the brand’s identity and engage and inspire the audience, prompting interaction and connection with your brand’s message. You will be fired if you supply a generic caption"
❤2
𝟭𝟬𝟬𝟬+ 𝗙𝗿𝗲𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗯𝘆 𝗜𝗻𝗳𝗼𝘀𝘆𝘀 – 𝗟𝗲𝗮𝗿𝗻, 𝗚𝗿𝗼𝘄, 𝗦𝘂𝗰𝗰𝗲𝗲𝗱!😍
🚀 Looking to upgrade your skills without spending a rupee?💰
Here’s your golden opportunity to unlock 1,000+ certified online courses across technology, business, communication, leadership, soft skills, and much more — all absolutely FREE on Infosys Springboard!🔥
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/43UcmQ7
Save this blog, sign up, and start your upskilling journey today!✅️
🚀 Looking to upgrade your skills without spending a rupee?💰
Here’s your golden opportunity to unlock 1,000+ certified online courses across technology, business, communication, leadership, soft skills, and much more — all absolutely FREE on Infosys Springboard!🔥
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/43UcmQ7
Save this blog, sign up, and start your upskilling journey today!✅️
❤1
Forwarded from Python Projects & Resources
𝗙𝗿𝗲𝗲 𝗣𝘆𝘁𝗵𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲: 𝗧𝗵𝗲 𝗕𝗲𝘀𝘁 𝗦𝘁𝗮𝗿𝘁𝗶𝗻𝗴 𝗣𝗼𝗶𝗻𝘁 𝗳𝗼𝗿 𝗧𝗲𝗰𝗵 & 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀😍
🚀 Want to break into tech or data analytics but don’t know how to start?📌✨️
Python is the #1 most in-demand programming language, and Scaler’s free Python for Beginners course is a game-changer for absolute beginners📊✔️
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/45TroYX
No coding background needed!✅️
🚀 Want to break into tech or data analytics but don’t know how to start?📌✨️
Python is the #1 most in-demand programming language, and Scaler’s free Python for Beginners course is a game-changer for absolute beginners📊✔️
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/45TroYX
No coding background needed!✅️