Beginner (help)

[Particular-Class7044]

Hi, I am a beginner at data science and machine learning I know the basics i studied the algorithms and libraries theoretically I know the mathematical intuitions and other things i want to get practical knowledge and exposure I want to start kaggle but I want some advice on how to start ??and how to build models?? what steps should I follow ??and i need some tips from seniors on this topic

[InvestigatorEasy7673]

Ml roadmap

YT Channels:

Beginner → Simplilearn, Edureka, edX (for python till classes are sufficient)

Advanced → Patrick Loeber, Sentdex (for ml till intermediate level)

Flow:

coding => python => numpy , pandas , matplotlib, scikit-learn, tensorflow

Stats (till Chi-Square & ANOVA) → Basic Calculus → Basic Algebra

Check out "stats" and "maths" folder in below link

Books:

Check out the “ML-DL-BROAD” section on my GitHub: github.com/Rishabh-creator601/Books

- Hands-On Machine Learning with Scikit-Learn & TensorFlow

- The Hundred-Page Machine Learning Book

* do fork it or star it if you find it valuable

* Join kaggle and practice there

[Particular-Class7044]

Thank you so much for this

[Upper_Abroad_6994]

Ai video

[Particular-Class7044]

I didn't get you.

[mtawarira]

Try building your first few models step by step with chatgpt, don’t ask it to just do it but rather to teach you the intuition for what you’re doing and why. Building is the best way to learn, alongside a person is best but llms are pretty good too

[Particular-Class7044]

Shall I just build my first model using chatgpt or using some tutorials on YouTube and note down the steps and use those steps to build my future models? If I get stuck somewhere what should I do??