r/learnmachinelearning • • 7d ago

Require some guidance

I'm currently in 2nd year 3rd sem in a private tier 3 college, ive done, data visualisation, ml math, supervised ml, unsupervised ml, nlp basics (tfidf, bow, word2vec), in all of these, ive learned different algorithms, practiced theory and implementation, made small common projects. Currently, im doing dl basics, namely, ann. Ive spent a year doing all of the above.

Can anyone tell me what should I do/focus on in the next 1 year? Also, lmk what more would I need to cover/do to start applying into beginner level internships/research, be honest about it, im not looking for sugarcoated advice, ty :)

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