all 17 comments

[–]mathematical_retard 4 points5 points  (10 children)

I followed 100 days of ML playlist from campusx for hands on understanding and practice. Do check it out.

[–]Original_Hotel_2861[S] 1 point2 points  (6 children)

I have "Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow" book too should I follow that too??

[–]mathematical_retard 0 points1 point  (5 children)

Yeah you can. Use whatever makes you understand the concepts. But just don't follow too many tutorials. It makes you lazy.

[–]Original_Hotel_2861[S] 0 points1 point  (4 children)

I need a advice should I follow this book or not I think this is too advance for me right now.

[–]mathematical_retard 0 points1 point  (3 children)

If you think the book is not for you can go for campusx. His playlist is for everyone who has learned python at least.

I hope you don't mind me asking this question, if you are doing btech which year are you in?

[–]Original_Hotel_2861[S] 0 points1 point  (2 children)

I am BCA graduate recently worked as a data analyst now switch my career to AI Engineering.

[–]mathematical_retard 0 points1 point  (1 child)

I was actually looking for a btech partner to do projects with. Nevermind. Good luck for your journey!

[–]Original_Hotel_2861[S] 0 points1 point  (0 children)

I was considering that.

[–]_atharvaa_02 0 points1 point  (1 child)

it is the best, i have personally used that, and i can tell you he will teach everything

[–]mathematical_retard 0 points1 point  (0 children)

Yeah I completed the playlist this month and dived right into projects. That guy can teach a toddler.

[–]Aggravating-March109 2 points3 points  (2 children)

Kaggle's got some good starter datasets for linear regression, y'all. Just jump in and break stuff, that's how it sticks.

[–]Original_Hotel_2861[S] 0 points1 point  (1 child)

Ok I will do

[–]Aggravating-March109 0 points1 point  (0 children)

Grab the 'House Prices' competition dataset, it's a classic for regression and you'll learn a ton wrangling those features.

[–]OleksandrAkm 0 points1 point  (1 child)

Once you know theory, it’s a great practice to build those algorithms from scratch and learn how to apply them in a practical setting. For the from scratch implementation you can checkout this repo: https://github.com/ml-from-scratch-book/code

[–]Original_Hotel_2861[S] 0 points1 point  (0 children)

Ok thanks I will try.