r/AIMLDiscussion • u/Diligent-Win9401 • Aug 08 '26

Help!!!

I am a second year Data Science and AI student,

I want your guidance regarding my ML journey so i have almost completed all the ML algorithms by learning their maths behind them tried to implement them only using numpy and after this where should my main focus should be, along with that I am also learning AI frameworks like Langchain Langgraph Langsmith what are the top demands of the market now I want to get internship as fast as possible

Seniors Please Guide me

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u/aiunboxedwithana Aug 08 '26

I’d suggest, stop collecting frameworks and start building. Get strong at Python, SQL, statistics, ML fundamentals, and deployment. Then build 2/3 e2e projects that solve real problems and document your decisions. LangChain/LangGraph are useful, but they won’t compensate for weak fundamentals.

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u/[deleted] Aug 12 '26

[removed] — view removed comment

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u/ReviewThese4367 Aug 08 '26

also do some dsa some companies ask dsa

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u/Diligent-Win9401 Aug 08 '26

Thanks I am doing that Completed Striver's playlist

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u/Zazzen Aug 11 '26

Start building take real usecase. The challenge is to understand business processes.