@datascibykashi: If you’re learning data science, this is a skill that can save you hours of manual work. Most beginners waste time cleaning data manually. But now, with LLMs (Large Language Models), you can automate tasks like: ✔ Handling missing values ✔ Fixing inconsistent text data ✔ Standardizing formats ✔ Removing duplicates ✔ Generating clean structured datasets Instead of writing long scripts, you can prompt an LLM to clean and transform messy datasets in seconds. This is how modern data scientists in top companies are increasing productivity. ⚡ Smart work > Hard work 💬 COMMENT BOOST (very important): Be honest 👇 How do you clean your data right now? A) Manually in Excel B) Python (Pandas) C) Not sure yet D) I want to learn LLM automation Comment your option — I’ll guide you personally. 💾 Save this if you want to become a smarter data scientist. #creatorsearchinsights #datascience #ai #machinelearning #llm
😂😂😂 Waw. Some suggestions: use polars. Add the output of describe() method ( works in pandas ) and pass the result to the llm. Polars has the method named to_markdown. LLMs like markdown. Ok it’s for people who are not expert in data. But your approach is too light. You can’t do a correct job just with you few mines of code and the poor process you define. A better say to achieve this : Use an agent framework like langgraph. Code some tools to explore and analyse the dataset pl or pd according to your preference. Some good context with good practices and even a light llm will do the job. But you need to define good tools and GOOD PROCESS. It’s not the llm the true value, it’s your compréhension of working with data and your capacity to Translate it in machine usable knowledge. Sorry for my english it’s a French english 😂😂😂
2026-04-19 19:30:44
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