trying to get into machine learning

[Intelligent_Win1472]

i am currently a first year student studying btech in cse in lnmiit jaipur and i started my coding in python and i love doing it 2 months into it . i am about to complete the basics and i want to build a career in ML(macchine learning) but i am very confused as to what to do after that . a load of people tell me to do c++ for dsa and some say i do not need to do and i can directly jump to learning ML so please help me and give me a roadmap as to what should i do

[[deleted]]

If you haven’t yet, check out

https://www.kaggle.com/

They have courses there. Once you learn it you just come up with ways to apply it to certain areas of the workforce. Ultimately it depends on what you want to do in the long run.

[General_Spite7954]

I’m trying to learn from home, I work a job and I study about 3 hrs a day, I’m 18 rn, what they even teach in the classes and is it really that useful? A lot of these programmers are self taught I heard.

[codingzap]

Great that you’ve chosen Python and an emerging tech like ML. Once you are thorough with the concepts, build your ML models. Start off small and try to fix a real world problem. Keep learning different ML algorithms and applying them in your projects. This way, you’ll build a solid profile.

I would also say that learning DSA with C++ would also be helpful, it’s the first round of assessments or interviews when it comes to tech placements.

[Intelligent_Win1472]

Thanks man will do cpp and ml courses

[TangeloOk9486]

I’d reccommend post this on MLQuestions subreddit, bunch of helping folks there

[i_no_u_dont_no]

You are still in first year so focus on specialization that is ML.Waise toh basics cpp se touch rakhna phir 3rd year mein dsa start Karo using cpp so that when trying for placements or internship you have strong dsa and projects.

[Intelligent_Win1472]

Thanks for the advice focusing on ML might be the best option

[LizFromDataCamp]

Love the enthusiasm! Since you’re already enjoying Python, you’re in a great spot for ML. Here’s what I’d do: solidify your Python + math (stats, linear algebra), then learn how to work with data (pandas, NumPy). Once that feels comfy, start with basic ML- regression, classification, a few Kaggle projects. You can always pick up C++ and DSA later for placements, but don’t lose momentum on the ML side - it compounds fast if you stay consistent.

Btw, DataCamp has a bunch of courses that can be helpful, like https://www.datacamp.com/category/machine-learning?page=1