👨🏻💻- Al/ML Engineer
Stage 1 - Python Basics
Stage 2 - Statistics & Probability
Stage 3 - Linear Algebra & Calculus
Stage 4 - Data Preprocessing
Stage 5 - Exploratory Data Analysis (EDA)
Stage 6 - Supervised Learning
Stage 7 - Unsupervised Learning
Stage 8 - Feature Engineering
Stage 9 - Model Evaluation & Tuning
Stage 10 - Deep Learning Basics
Stage 11 - Neural Networks & CNNs
Stage 12 - RNNs & LSTMs
Stage 13 - NLP Fundamentals
Stage 14 - Deployment (Flask, Docker)
Stage 15 - Build projects
Stage 1 - Python Basics
Stage 2 - Statistics & Probability
Stage 3 - Linear Algebra & Calculus
Stage 4 - Data Preprocessing
Stage 5 - Exploratory Data Analysis (EDA)
Stage 6 - Supervised Learning
Stage 7 - Unsupervised Learning
Stage 8 - Feature Engineering
Stage 9 - Model Evaluation & Tuning
Stage 10 - Deep Learning Basics
Stage 11 - Neural Networks & CNNs
Stage 12 - RNNs & LSTMs
Stage 13 - NLP Fundamentals
Stage 14 - Deployment (Flask, Docker)
Stage 15 - Build projects
👍14
Breaking into AI Engineering should be 100% project-based.
Here is the simplest way to start:
- select a subject you are passionate about. Maybe creating content, coding, product design.
- decide on the first feature. Build an agent that can reason, make decisions, and execute tasks.
- choose an environment to interact with your agent. It can be your custom UI or 3rd party APIs, like Whatsapp, Discord, etc.
- provide tools to your Agent. Wrap functions like web search, file search, or API calls.
- use frameworks like Langgraph or OpenAI Agents to connect your components, manage memory, and create a coherent workflow.
- trace and monitor your agent's actions with Langsmith or Langfuse, and continue improving.
Here is the simplest way to start:
- select a subject you are passionate about. Maybe creating content, coding, product design.
- decide on the first feature. Build an agent that can reason, make decisions, and execute tasks.
- choose an environment to interact with your agent. It can be your custom UI or 3rd party APIs, like Whatsapp, Discord, etc.
- provide tools to your Agent. Wrap functions like web search, file search, or API calls.
- use frameworks like Langgraph or OpenAI Agents to connect your components, manage memory, and create a coherent workflow.
- trace and monitor your agent's actions with Langsmith or Langfuse, and continue improving.
👍8
Best Free Generative AI Tools You Can Use
1️⃣ ChatGPT (OpenAI)
💬 Great for writing, brainstorming, and answering questions.
2️⃣ DALL·E (OpenAI)
🎨 Generates high-quality AI images from text prompts.
3️⃣ Canva AI
🖌️ Creates stunning designs, social media posts, and presentations.
4️⃣ Runway ML
🎥 AI-powered video editing, background removal, and motion tracking.
5️⃣ DeepL Write
✍️ Improves writing by enhancing grammar and clarity.
6️⃣ Google Bard
📢 A conversational AI model similar to ChatGPT with Google’s latest AI technology.
7️⃣ ElevenLabs
🎙️ Creates realistic AI-generated voiceovers for videos and podcasts.
8️⃣ Jasper AI
📝 Helps generate marketing copy, blog posts, and product denoscriptions.
9️⃣ Pika Labs
📽️ Turns text into animated videos using AI.
🔟 Leonardo AI
🎨 AI tool for generating artwork, game assets, and digital designs.
AI is now more accessible than ever—explore these tools and enhance your workflow! 🚀
#aitools
1️⃣ ChatGPT (OpenAI)
💬 Great for writing, brainstorming, and answering questions.
2️⃣ DALL·E (OpenAI)
🎨 Generates high-quality AI images from text prompts.
3️⃣ Canva AI
🖌️ Creates stunning designs, social media posts, and presentations.
4️⃣ Runway ML
🎥 AI-powered video editing, background removal, and motion tracking.
5️⃣ DeepL Write
✍️ Improves writing by enhancing grammar and clarity.
6️⃣ Google Bard
📢 A conversational AI model similar to ChatGPT with Google’s latest AI technology.
7️⃣ ElevenLabs
🎙️ Creates realistic AI-generated voiceovers for videos and podcasts.
8️⃣ Jasper AI
📝 Helps generate marketing copy, blog posts, and product denoscriptions.
9️⃣ Pika Labs
📽️ Turns text into animated videos using AI.
🔟 Leonardo AI
🎨 AI tool for generating artwork, game assets, and digital designs.
AI is now more accessible than ever—explore these tools and enhance your workflow! 🚀
#aitools
👍5❤2
How Generative AI is Used in Different Industries
1️⃣ Marketing & Advertising
📢 AI creates ad copies, designs, and social media posts, making campaigns more engaging and data-driven.
2️⃣ Healthcare
🩺 AI assists in diagnosing diseases, analyzing medical images, and even predicting health risks.
3️⃣ Education
📚 AI-powered tutors provide personalized learning, generate quizzes, and summarize study materials.
4️⃣ Finance
💰 AI detects fraud, automates customer support, and predicts market trends.
5️⃣ Software Development
💻 AI tools suggest code, debug programs, and even generate entire applications.
6️⃣ Content Creation
📝 Writers and designers use AI for generating articles, noscripts, graphics, and even music.
7️⃣ E-commerce
🛒 AI recommends products, enhances customer experience, and automates chatbots for support.
8️⃣ Entertainment & Gaming
🎮 AI generates characters, storylines, and even deepfake actors for movies and games.
9️⃣ Cybersecurity
🔐 AI helps detect security threats, prevent cyberattacks, and protect sensitive data.
🔟 Legal & Compliance
⚖️ AI reviews contracts, summarizes legal documents, and ensures regulatory compliance.
AI is transforming every industry—those who adapt will stay ahead! 🚀
#generativeai
1️⃣ Marketing & Advertising
📢 AI creates ad copies, designs, and social media posts, making campaigns more engaging and data-driven.
2️⃣ Healthcare
🩺 AI assists in diagnosing diseases, analyzing medical images, and even predicting health risks.
3️⃣ Education
📚 AI-powered tutors provide personalized learning, generate quizzes, and summarize study materials.
4️⃣ Finance
💰 AI detects fraud, automates customer support, and predicts market trends.
5️⃣ Software Development
💻 AI tools suggest code, debug programs, and even generate entire applications.
6️⃣ Content Creation
📝 Writers and designers use AI for generating articles, noscripts, graphics, and even music.
7️⃣ E-commerce
🛒 AI recommends products, enhances customer experience, and automates chatbots for support.
8️⃣ Entertainment & Gaming
🎮 AI generates characters, storylines, and even deepfake actors for movies and games.
9️⃣ Cybersecurity
🔐 AI helps detect security threats, prevent cyberattacks, and protect sensitive data.
🔟 Legal & Compliance
⚖️ AI reviews contracts, summarizes legal documents, and ensures regulatory compliance.
AI is transforming every industry—those who adapt will stay ahead! 🚀
#generativeai
👍7
ChatGPT can now help you create animations, one frame at a time.
You can generate up to 5 images in a row, but it does them slowly and one by one.
It’s not perfect yet (character consistency still needs work), but it’s a fun way to make GIFs or short clips.
This trick’s kinda slow, kinda messy… but also kinda genius.
Ever tried something like this?
You can generate up to 5 images in a row, but it does them slowly and one by one.
It’s not perfect yet (character consistency still needs work), but it’s a fun way to make GIFs or short clips.
This trick’s kinda slow, kinda messy… but also kinda genius.
Ever tried something like this?
❤5👍5
How to Make Money with AI
1️⃣ AI-Powered Content Creation
📝 Use AI to write blogs, articles, and noscripts for businesses and publications.
2️⃣ AI Art & Design
🎨 Sell AI-generated artwork, logos, and graphics on platforms like Etsy and Fiverr.
3️⃣ AI Video & Voice Generation
🎥 Create AI-edited videos or voiceovers for YouTube, TikTok, and businesses.
4️⃣ AI Chatbots & Automation
🤖 Build and sell AI-powered customer service chatbots for companies.
5️⃣ AI-Powered Marketing
📢 Offer AI-driven ad copywriting, email marketing, and SEO services.
6️⃣ AI-Generated Code & Software
💻 Use AI tools to develop websites, apps, and automation noscripts for clients.
7️⃣ AI-Powered Translations & Summaries
🌎 Provide AI-generated translations, text summaries, and trannoscription services.
8️⃣ AI Courses & Consulting
🎓 Teach AI usage through online courses or offer AI consulting for businesses.
9️⃣ AI Stock Market Predictions
📈 Use AI tools for data-driven stock analysis and financial forecasting.
🔟 AI-Driven E-commerce
🛒 Automate product denoscriptions, customer support, and ads to boost online sales.
AI is a game-changer—start leveraging it to earn! 🚀
Free AI Resources: https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E
1️⃣ AI-Powered Content Creation
📝 Use AI to write blogs, articles, and noscripts for businesses and publications.
2️⃣ AI Art & Design
🎨 Sell AI-generated artwork, logos, and graphics on platforms like Etsy and Fiverr.
3️⃣ AI Video & Voice Generation
🎥 Create AI-edited videos or voiceovers for YouTube, TikTok, and businesses.
4️⃣ AI Chatbots & Automation
🤖 Build and sell AI-powered customer service chatbots for companies.
5️⃣ AI-Powered Marketing
📢 Offer AI-driven ad copywriting, email marketing, and SEO services.
6️⃣ AI-Generated Code & Software
💻 Use AI tools to develop websites, apps, and automation noscripts for clients.
7️⃣ AI-Powered Translations & Summaries
🌎 Provide AI-generated translations, text summaries, and trannoscription services.
8️⃣ AI Courses & Consulting
🎓 Teach AI usage through online courses or offer AI consulting for businesses.
9️⃣ AI Stock Market Predictions
📈 Use AI tools for data-driven stock analysis and financial forecasting.
🔟 AI-Driven E-commerce
🛒 Automate product denoscriptions, customer support, and ads to boost online sales.
AI is a game-changer—start leveraging it to earn! 🚀
Free AI Resources: https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E
👍6❤2
Essential Skills to Master for Using Generative AI
1️⃣ Prompt Engineering
✍️ Learn how to craft clear, detailed prompts to get accurate AI-generated results.
2️⃣ Data Literacy
📊 Understand data sources, biases, and how AI models process information.
3️⃣ AI Ethics & Responsible Usage
⚖️ Know the ethical implications of AI, including bias, misinformation, and copyright issues.
4️⃣ Creativity & Critical Thinking
💡 AI enhances creativity, but human intuition is key for quality content.
5️⃣ AI Tool Familiarity
🔍 Get hands-on experience with tools like ChatGPT, DALL·E, Midjourney, and Runway ML.
6️⃣ Coding Basics (Optional)
💻 Knowing Python, SQL, or APIs helps customize AI workflows and automation.
7️⃣ Business & Marketing Awareness
📢 Leverage AI for automation, branding, and customer engagement.
8️⃣ Cybersecurity & Privacy Knowledge
🔐 Learn how AI-generated data can be misused and ways to protect sensitive information.
9️⃣ Adaptability & Continuous Learning
🚀 AI evolves fast—stay updated with new trends, tools, and regulations.
Master these skills to make the most of AI in your personal and professional life! 🔥
Free Generative AI Resources: https://whatsapp.com/channel/0029VazaRBY2UPBNj1aCrN0U
1️⃣ Prompt Engineering
✍️ Learn how to craft clear, detailed prompts to get accurate AI-generated results.
2️⃣ Data Literacy
📊 Understand data sources, biases, and how AI models process information.
3️⃣ AI Ethics & Responsible Usage
⚖️ Know the ethical implications of AI, including bias, misinformation, and copyright issues.
4️⃣ Creativity & Critical Thinking
💡 AI enhances creativity, but human intuition is key for quality content.
5️⃣ AI Tool Familiarity
🔍 Get hands-on experience with tools like ChatGPT, DALL·E, Midjourney, and Runway ML.
6️⃣ Coding Basics (Optional)
💻 Knowing Python, SQL, or APIs helps customize AI workflows and automation.
7️⃣ Business & Marketing Awareness
📢 Leverage AI for automation, branding, and customer engagement.
8️⃣ Cybersecurity & Privacy Knowledge
🔐 Learn how AI-generated data can be misused and ways to protect sensitive information.
9️⃣ Adaptability & Continuous Learning
🚀 AI evolves fast—stay updated with new trends, tools, and regulations.
Master these skills to make the most of AI in your personal and professional life! 🔥
Free Generative AI Resources: https://whatsapp.com/channel/0029VazaRBY2UPBNj1aCrN0U
❤2👍2
Artificial Intelligence – Essential Concepts 🚀
1️⃣ Types of AI
Narrow AI (Weak AI) – Specialized in one task (Chatbots, Recommendation Systems).
General AI (Strong AI) – Human-like intelligence (Still theoretical).
Super AI – Beyond human intelligence (Future concept).
2️⃣ AI vs. Machine Learning vs. Deep Learning
AI – Broad field of simulating human intelligence.
Machine Learning – Subset of AI that learns from data.
Deep Learning – Subset of ML using neural networks.
3️⃣ Key AI Techniques
Machine Learning – Regression, Classification, Clustering.
Deep Learning – Neural Networks (ANN, CNN, RNN).
Natural Language Processing (NLP) – Text analysis, ChatGPT, Sentiment Analysis.
Computer Vision – Object detection, Image recognition.
Reinforcement Learning – AI learns from rewards (AlphaGo, Robotics).
4️⃣ AI Tools & Frameworks
TensorFlow, PyTorch – Deep learning.
Scikit-learn – Machine learning.
OpenCV – Computer vision.
NLTK, SpaCy – NLP.
5️⃣ AI in Real Life
Chatbots – ChatGPT, Google Bard.
Self-Driving Cars – Tesla, Waymo.
Healthcare AI – Disease detection, AI-assisted diagnosis.
Finance AI – Fraud detection, Stock predictions.
6️⃣ AI Ethics & Challenges
Bias in AI – Fairness in model predictions.
Data Privacy – GDPR, Responsible AI.
AI Explainability – Making AI decisions transparent.
Job Automation – AI replacing repetitive jobs.
7️⃣ Future of AI
AI & Quantum Computing – Next-gen AI speed.
Autonomous AI Agents – Self-learning AI systems.
AGI (Artificial General Intelligence) – Machines thinking like humans.
Free AI Resources: https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E
1️⃣ Types of AI
Narrow AI (Weak AI) – Specialized in one task (Chatbots, Recommendation Systems).
General AI (Strong AI) – Human-like intelligence (Still theoretical).
Super AI – Beyond human intelligence (Future concept).
2️⃣ AI vs. Machine Learning vs. Deep Learning
AI – Broad field of simulating human intelligence.
Machine Learning – Subset of AI that learns from data.
Deep Learning – Subset of ML using neural networks.
3️⃣ Key AI Techniques
Machine Learning – Regression, Classification, Clustering.
Deep Learning – Neural Networks (ANN, CNN, RNN).
Natural Language Processing (NLP) – Text analysis, ChatGPT, Sentiment Analysis.
Computer Vision – Object detection, Image recognition.
Reinforcement Learning – AI learns from rewards (AlphaGo, Robotics).
4️⃣ AI Tools & Frameworks
TensorFlow, PyTorch – Deep learning.
Scikit-learn – Machine learning.
OpenCV – Computer vision.
NLTK, SpaCy – NLP.
5️⃣ AI in Real Life
Chatbots – ChatGPT, Google Bard.
Self-Driving Cars – Tesla, Waymo.
Healthcare AI – Disease detection, AI-assisted diagnosis.
Finance AI – Fraud detection, Stock predictions.
6️⃣ AI Ethics & Challenges
Bias in AI – Fairness in model predictions.
Data Privacy – GDPR, Responsible AI.
AI Explainability – Making AI decisions transparent.
Job Automation – AI replacing repetitive jobs.
7️⃣ Future of AI
AI & Quantum Computing – Next-gen AI speed.
Autonomous AI Agents – Self-learning AI systems.
AGI (Artificial General Intelligence) – Machines thinking like humans.
Free AI Resources: https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E
👍5🔥4❤1
Keep yourself updated with Artificial Intelligence & latest technology
👇👇
https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E
👇👇
https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E
𝗛𝗼𝘄 𝘁𝗼 𝗽𝗿𝗼𝗺𝗽𝘁 𝗶𝗻 𝗖𝗵𝗮𝘁𝗚𝗣𝗧, 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 𝗮𝗻𝗱 𝗚𝗲𝗺𝗶𝗻𝗶 𝗶𝗻 𝟳 𝘀𝘁𝗲𝗽𝘀
1. Assign personas
2. Define your task
3. Set the tone
4. Break it down
5. Format and limits
6. Provide examples
7. Refine the prompt
1. Assign personas
2. Define your task
3. Set the tone
4. Break it down
5. Format and limits
6. Provide examples
7. Refine the prompt
❤1
Here are 10 ChatGPT-4o Prompts you need to know to Dominate and Excel at any job interview:
1. Developing STAR Method Responses:
Help me craft a STAR (Situation, Task, Action, Result) response to the interview question: [INSERT QUESTION] for the [JOB TITLE] role. Ensure the response is clear, concise, and demonstrates my impact in previous roles.
2. Mock Interview Practice:
Create a mock interview scenario for the [JOB TITLE] role at [SPECIFIC COMPANY]. Include 5 common and challenging questions I might face, and provide guidance on how to answer each effectively.
3. Overcoming Weaknesses:
How should I address the common interview question: 'What is your greatest weakness?' in the context of a [JOB TITLE] role in [SPECIFIC INDUSTRY]? Provide a response that turns the weakness into a positive aspect.
4. Negotiating Salary:
How should I approach salary negotiations for a [JOB TITLE] role at [SPECIFIC COMPANY]? Please provide a noscript or key points to emphasize based on industry standards and my qualifications.
ChatGPT PROMPTS Series
5. Post-Interview Follow-Up:
What is the best way to follow up after an interview for the [JOB TITLE] role at [SPECIFIC COMPANY]? Based on our discussion about [specific project, skill, or topic discussed during the interview], draft a professional and personalized thank-you email that not only reiterates my enthusiasm for the role but also highlights how my experience in [specific relevant experience or achievement] can directly contribute to the success of [SPECIFIC COMPANY]
6. Showcasing Soft Skills:
How can I effectively highlight my soft skills, such as communication and teamwork, during an interview for the [JOB TITLE] role in [SPECIFIC INDUSTRY]? Please provide examples and scenarios that demonstrate these skills in action.
7. Dealing with Gaps in Employment:
What is the best way to follow up after an interview for the [JOB TITLE] role at [SPECIFIC COMPANY]? Considering our discussion on [specific topics discussed during the interview], craft a professional and thoughtful thank-you email that reiterates my interest, highlights key points from our conversation, and emphasizes how my background in [specific skills or experiences] aligns with the company’s needs.
8. Handling Behavioral Questions:
How can I best respond to behavioral interview questions for a [JOB TITLE] role? Given my experience in [specific past role or project], provide strategies and examples to answer questions about teamwork, conflict resolution, and leadership.
9. Dealing with Gaps in Employment:
How should I address gaps in my employment history during an interview for the [JOB TITLE] position in [SPECIFIC INDUSTRY]? Considering that during this period I [explain what you did: pursued education, volunteered, freelanced, etc.], provide a response that explains the gaps positively and focuses on what I’ve learned during that time.
10. Explaining Career Transitions:
How can I effectively explain a career transition to [JOB TITLE] in [SPECIFIC INDUSTRY] during an interview? Given my background in [previous industry or role] and my recent [relevant education, certification, experience], provide a narrative that connects my previous experiences to the new role, highlighting transferable skills and relevant achievements.
#ChatGPT
1. Developing STAR Method Responses:
Help me craft a STAR (Situation, Task, Action, Result) response to the interview question: [INSERT QUESTION] for the [JOB TITLE] role. Ensure the response is clear, concise, and demonstrates my impact in previous roles.
2. Mock Interview Practice:
Create a mock interview scenario for the [JOB TITLE] role at [SPECIFIC COMPANY]. Include 5 common and challenging questions I might face, and provide guidance on how to answer each effectively.
3. Overcoming Weaknesses:
How should I address the common interview question: 'What is your greatest weakness?' in the context of a [JOB TITLE] role in [SPECIFIC INDUSTRY]? Provide a response that turns the weakness into a positive aspect.
4. Negotiating Salary:
How should I approach salary negotiations for a [JOB TITLE] role at [SPECIFIC COMPANY]? Please provide a noscript or key points to emphasize based on industry standards and my qualifications.
ChatGPT PROMPTS Series
5. Post-Interview Follow-Up:
What is the best way to follow up after an interview for the [JOB TITLE] role at [SPECIFIC COMPANY]? Based on our discussion about [specific project, skill, or topic discussed during the interview], draft a professional and personalized thank-you email that not only reiterates my enthusiasm for the role but also highlights how my experience in [specific relevant experience or achievement] can directly contribute to the success of [SPECIFIC COMPANY]
6. Showcasing Soft Skills:
How can I effectively highlight my soft skills, such as communication and teamwork, during an interview for the [JOB TITLE] role in [SPECIFIC INDUSTRY]? Please provide examples and scenarios that demonstrate these skills in action.
7. Dealing with Gaps in Employment:
What is the best way to follow up after an interview for the [JOB TITLE] role at [SPECIFIC COMPANY]? Considering our discussion on [specific topics discussed during the interview], craft a professional and thoughtful thank-you email that reiterates my interest, highlights key points from our conversation, and emphasizes how my background in [specific skills or experiences] aligns with the company’s needs.
8. Handling Behavioral Questions:
How can I best respond to behavioral interview questions for a [JOB TITLE] role? Given my experience in [specific past role or project], provide strategies and examples to answer questions about teamwork, conflict resolution, and leadership.
9. Dealing with Gaps in Employment:
How should I address gaps in my employment history during an interview for the [JOB TITLE] position in [SPECIFIC INDUSTRY]? Considering that during this period I [explain what you did: pursued education, volunteered, freelanced, etc.], provide a response that explains the gaps positively and focuses on what I’ve learned during that time.
10. Explaining Career Transitions:
How can I effectively explain a career transition to [JOB TITLE] in [SPECIFIC INDUSTRY] during an interview? Given my background in [previous industry or role] and my recent [relevant education, certification, experience], provide a narrative that connects my previous experiences to the new role, highlighting transferable skills and relevant achievements.
#ChatGPT
👍13
Forwarded from Data Science & Machine Learning
Hey folks! Just curious — where are you in your Data & AI journey?
Anonymous Poll
77%
Student
23%
Working Professional
👍6
Stanford’s Machine Learning - by Andrew Ng
A complete lecture notes of 227 pages. Available Free.
Download the notes:
cs229.stanford.edu/main_notes.pdf
A complete lecture notes of 227 pages. Available Free.
Download the notes:
cs229.stanford.edu/main_notes.pdf
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming #Keras ✅
👍5
Python For Everything!🐍
Python, the versatile language, can be combined with various libraries to build amazing things:🚀
1. Python + Pandas = Data Manipulation
2. Python + Scikit-Learn = Machine Learning
3. Python + TensorFlow = Deep Learning
4. Python + Matplotlib = Data Visualization
5. Python + Seaborn = Advanced Visualization
6. Python + Flask = Web Development
7. Python + Pygame = Game Development
8. Python + Kivy = Mobile App Development
#Python
Python, the versatile language, can be combined with various libraries to build amazing things:🚀
1. Python + Pandas = Data Manipulation
2. Python + Scikit-Learn = Machine Learning
3. Python + TensorFlow = Deep Learning
4. Python + Matplotlib = Data Visualization
5. Python + Seaborn = Advanced Visualization
6. Python + Flask = Web Development
7. Python + Pygame = Game Development
8. Python + Kivy = Mobile App Development
#Python
👍7
10 Python Libraries Every AI Developer Should Know
✅ NumPy – Foundation for numerical computing in Python
✅ Pandas – Data manipulation and analysis made easy
✅ Scikit-learn – Powerful library for classical ML models
✅ TensorFlow – End-to-end open-source ML platform by Google
✅ PyTorch – Deep learning framework loved by researchers
✅ Matplotlib – Create stunning data visualizations
✅ Seaborn – High-level interface for drawing statistical plots
✅ NLTK – Toolkit for working with human language data (NLP)
✅ OpenCV – Real-time computer vision made simple
✅ Hugging Face Transformers – Pretrained models for NLP, CV, and more
React with ❤️ for more
✅ NumPy – Foundation for numerical computing in Python
✅ Pandas – Data manipulation and analysis made easy
✅ Scikit-learn – Powerful library for classical ML models
✅ TensorFlow – End-to-end open-source ML platform by Google
✅ PyTorch – Deep learning framework loved by researchers
✅ Matplotlib – Create stunning data visualizations
✅ Seaborn – High-level interface for drawing statistical plots
✅ NLTK – Toolkit for working with human language data (NLP)
✅ OpenCV – Real-time computer vision made simple
✅ Hugging Face Transformers – Pretrained models for NLP, CV, and more
React with ❤️ for more
❤8👍1