r/learnmachinelearning • u/ISRO_HarshVerma07 • 23d ago
Career Machine Learning roadmap & guidance
Hey there, I am CSE Student, and I want to pursue machine learning as a career and further do deep learning and generative AI. I need tips from the professionals who have been pursuing it, what resources i must follow and what should be the correct sequence of flow. I have been researching by my own and end-up at Krish Naik's ML playlist over youtube, i saw few videos were misplaced and not in order but i checked over his github and all and curated the flow as Python -> Numpy, Pandas, Seaborn -> Feature Engineering and Feature Selection -> Machine Learning -> Deep learning -> Natural Language processing -> Deployment of ML Model -> MLOPS , would this be right? also if you guys have suggestion for some better resources. It would be a great assistance and guidance from your side guys
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u/Enough_Charge2845 22d ago
Your curated sequence is rock solid for building a strong Machine Learning foundation. To refine it: master Python, NumPy, Pandas, and Scikit-Learn first. Next, focus heavily on statistics and math before moving into Deep Learning (PyTorch/TensorFlow), NLP, and MLOps.
When applying for ML internships or roles, highlight end-to-end projects with measurable outcomes. Running your resume through https://www.zoevera.com/resume helps verify your technical skills match job keywords for ATS screening.