How do you start AI and ML ?
Where do you go to learn these skills? What courses are the best?
There’s no best answer🥺. Everyone’s path will be different. Some people learn better with books, others learn better through videos.
What’s more important than how you start is why you start.
Start with why.
Why do you want to learn these skills?
Do you want to make money?
Do you want to build things?
Do you want to make a difference?
Again, no right reason. All are valid in their own way.
Start with why because having a why is more important than how. Having a why means when it gets hard and it will get hard, you’ve got something to turn to. Something to remind you why you started.
Got a why? Good. Time for some hard skills.
I can only recommend what I’ve tried every week new course lauch better than others its difficult to recommend any course
You can completed courses from (in order):
Treehouse / youtube( free) - Introduction to Python
Udacity - Deep Learning & AI Nanodegree
fast.ai - Part 1and Part 2
They’re all world class. I’m a visual learner. I learn better seeing things being done/explained to me on. So all of these courses reflect that.
If you’re an absolute beginner, start with some introductory Python courses and when you’re a bit more confident, move into data science, machine learning and AI.
Join for more: https://news.1rj.ru/str/machinelearning_deeplearning
👉Telegram Link: https://news.1rj.ru/str/addlist/ID95piZJZa0wYzk5
Like for more ❤️
All the best 👍👍
Where do you go to learn these skills? What courses are the best?
There’s no best answer🥺. Everyone’s path will be different. Some people learn better with books, others learn better through videos.
What’s more important than how you start is why you start.
Start with why.
Why do you want to learn these skills?
Do you want to make money?
Do you want to build things?
Do you want to make a difference?
Again, no right reason. All are valid in their own way.
Start with why because having a why is more important than how. Having a why means when it gets hard and it will get hard, you’ve got something to turn to. Something to remind you why you started.
Got a why? Good. Time for some hard skills.
I can only recommend what I’ve tried every week new course lauch better than others its difficult to recommend any course
You can completed courses from (in order):
Treehouse / youtube( free) - Introduction to Python
Udacity - Deep Learning & AI Nanodegree
fast.ai - Part 1and Part 2
They’re all world class. I’m a visual learner. I learn better seeing things being done/explained to me on. So all of these courses reflect that.
If you’re an absolute beginner, start with some introductory Python courses and when you’re a bit more confident, move into data science, machine learning and AI.
Join for more: https://news.1rj.ru/str/machinelearning_deeplearning
👉Telegram Link: https://news.1rj.ru/str/addlist/ID95piZJZa0wYzk5
Like for more ❤️
All the best 👍👍
👍3
Prepare for GATE: The Right Time is NOW!
GeeksforGeeks brings you everything you need to crack GATE 2026 – 900+ live hours, 300+ recorded sessions, and expert mentorship to keep you on track.
What’s inside?
✔ Live & recorded classes with India’s top educators
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Learn from Experts Like:
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Use code UPSKILL30 to get an extra 30% OFF (Limited time only)
📌 Enroll for a free counseling session now: https://gfgcdn.com/tu/UI2/
GeeksforGeeks brings you everything you need to crack GATE 2026 – 900+ live hours, 300+ recorded sessions, and expert mentorship to keep you on track.
What’s inside?
✔ Live & recorded classes with India’s top educators
✔ 200+ mock tests to track your progress
✔ Study materials - PYQs, workbooks, formula book & more
✔ 1:1 mentorship & AI doubt resolution for instant support
✔ Interview prep for IITs & PSUs to help you land opportunities
Learn from Experts Like:
Satish Kumar Yadav – Trained 20K+ students
Dr. Khaleel – Ph.D. in CS, 29+ years of experience
Chandan Jha – Ex-ISRO, AIR 23 in GATE
Vijay Kumar Agarwal – M.Tech (NIT), 13+ years of experience
Sakshi Singhal – IIT Roorkee, AIR 56 CSIR-NET
Shailendra Singh – GATE 99.24 percentile
Devasane Mallesham – IIT Bombay, 13+ years of experience
Use code UPSKILL30 to get an extra 30% OFF (Limited time only)
📌 Enroll for a free counseling session now: https://gfgcdn.com/tu/UI2/
❤2👍2
How to Find the Right Datasets
Most people search “SQL dataset” and get overused, small samples. Instead, try:
✅ “raw data” – Unstructured, real-world data.
✅ “large dataset” – 100MB+, ideal for indexing and performance tuning.
✅ “financial transactions” – Good for fraud detection projects.
✅ “customer behavior” – Perfect for segmentation analysis.
✅ “time-series” – Best for forecasting trends.
Use filters to find datasets with over 1M rows for real SQL challenges.
Most people search “SQL dataset” and get overused, small samples. Instead, try:
✅ “raw data” – Unstructured, real-world data.
✅ “large dataset” – 100MB+, ideal for indexing and performance tuning.
✅ “financial transactions” – Good for fraud detection projects.
✅ “customer behavior” – Perfect for segmentation analysis.
✅ “time-series” – Best for forecasting trends.
Use filters to find datasets with over 1M rows for real SQL challenges.
❤5
Best Kaggle Datasets for SQL Projects
💰 PaySim Fraud Transactions – Detect financial fraud.
🚖 NYC Taxi Trip Data – 1.2B rows, great for query optimization.
📦 Walmart Sales Forecasting – Time-series analysis for sales trends.
🎵 Spotify Music Data – Find hidden patterns in music trends.
💰 PaySim Fraud Transactions – Detect financial fraud.
🚖 NYC Taxi Trip Data – 1.2B rows, great for query optimization.
📦 Walmart Sales Forecasting – Time-series analysis for sales trends.
🎵 Spotify Music Data – Find hidden patterns in music trends.
❤3
𝟱 𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗞𝗶𝗰𝗸𝘀𝘁𝗮𝗿𝘁 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗮𝗿𝗲𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟱😍
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Looking to break into data analytics but don’t know where to start?👋
🚀 The demand for data professionals is skyrocketing in 2025, & 𝘆𝗼𝘂 𝗱𝗼𝗻’𝘁 𝗻𝗲𝗲𝗱 𝗮 𝗱𝗲𝗴𝗿𝗲𝗲 𝘁𝗼 𝗴𝗲𝘁 𝘀𝘁𝗮𝗿𝘁𝗲𝗱!🚨
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Pro Tips for Portfolio Projects
✔️ Pick a dataset you actually find interesting—you’ll be more engaged.
✔️ Work with messy data—handling nulls, duplicates, and inconsistencies shows real SQL skills.
✔️ Use Kaggle Kernels—learn from real SQL queries and improve your approach.
✔️ Upload your work to GitHub—employers check for structured, well-documented projects.
More data career advice - how to prepare, how to go through interview, how to look for job - you can find here
✔️ Pick a dataset you actually find interesting—you’ll be more engaged.
✔️ Work with messy data—handling nulls, duplicates, and inconsistencies shows real SQL skills.
✔️ Use Kaggle Kernels—learn from real SQL queries and improve your approach.
✔️ Upload your work to GitHub—employers check for structured, well-documented projects.
More data career advice - how to prepare, how to go through interview, how to look for job - you can find here
👍3❤1
𝗚𝗼𝗼𝗴𝗹𝗲’𝘀 𝗙𝗥𝗘𝗘 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲😍
Whether you want to become an AI Engineer, Data Scientist, or ML Researcher, this course gives you the foundational skills to start your journey.
𝐋𝐢𝐧𝐤 👇:-
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Whether you want to become an AI Engineer, Data Scientist, or ML Researcher, this course gives you the foundational skills to start your journey.
𝐋𝐢𝐧𝐤 👇:-
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To automate your daily tasks using ChatGPT, you can follow these steps:
1. Identify Repetitive Tasks: Make a list of tasks that you perform regularly and that can potentially be automated.
2. Create ChatGPT Scripts: Use ChatGPT to create noscripts or workflows for automating these tasks. You can use the API to interact with ChatGPT programmatically.
3. Integrate with Other Tools: Integrate ChatGPT with other tools and services that you use to streamline your workflow. For example, you can connect ChatGPT with task management tools, calendar apps, or communication platforms.
4. Set up Triggers: Set up triggers that will initiate the automated tasks based on certain conditions or events. This could be a specific time of day, a keyword in a message, or any other criteria you define.
5. Test and Iterate: Test your automated workflows to ensure they work as expected. Make adjustments as needed to improve efficiency and accuracy.
6. Monitor Performance: Keep an eye on how well your automated tasks are performing and make adjustments as necessary to optimize their efficiency.
1. Identify Repetitive Tasks: Make a list of tasks that you perform regularly and that can potentially be automated.
2. Create ChatGPT Scripts: Use ChatGPT to create noscripts or workflows for automating these tasks. You can use the API to interact with ChatGPT programmatically.
3. Integrate with Other Tools: Integrate ChatGPT with other tools and services that you use to streamline your workflow. For example, you can connect ChatGPT with task management tools, calendar apps, or communication platforms.
4. Set up Triggers: Set up triggers that will initiate the automated tasks based on certain conditions or events. This could be a specific time of day, a keyword in a message, or any other criteria you define.
5. Test and Iterate: Test your automated workflows to ensure they work as expected. Make adjustments as needed to improve efficiency and accuracy.
6. Monitor Performance: Keep an eye on how well your automated tasks are performing and make adjustments as necessary to optimize their efficiency.
👍3