This is a fantastic video, Keerthi! Thank you so much for taking the time to explain Linear Regression so clearly. I followed your steps carefully and was able to recreate the process.
I have a doubt that it is time series dataset, previous date close value is dependent upon previous date right? so, why did you choose train_test_split to randomise the data? we can train the model by moving average ?
@@RithickchandranRamesh-r5d yes you can solve it as a time series problem also, I have just taken a small weekly data of 53 points you can try taking all the 366 points and solve as time series also
@@laxmipandurangan4046 'yfinance' package installation nu net la search pannunga, u will get the commands for installation copy paste it it command prompt after that u can import it inside jupyter notebook and use
@@Michael55-bf4ty Hi I need to know about your background and interests first, I'm taking 1:1 sessions here, you can book a session and we can discuss more topmate.io/keerthana_selvam
This is a fantastic video, Keerthi! Thank you so much for taking the time to explain Linear Regression so clearly. I followed your steps carefully and was able to recreate the process.
@@michealprabin833 I'm glad to hear
Semma video akka eagerly waiting for next video
Good explanation 👍🏻
Thank you madam
Mam streamlit la globally ya deploy panna mudiyala ,streamlit la deployment pandra mathiri podunga mam i practice streamlit and gradio is new to me😢
@@gowthama757 yes streamlit laium one project palam, gradio is simple and easy for freshers so introduced that first
Hi 👋 akka! Can you please make an end-to-end Machine Learning project video for Binary classification as well 🙏
@@Rocky_raj-m3r soon on the way
I have a doubt that it is time series dataset, previous date close value is dependent upon previous date right? so, why did you choose train_test_split to randomise the data? we can train the model by moving average ?
@@RithickchandranRamesh-r5d yes you can solve it as a time series problem also, I have just taken a small weekly data of 53 points you can try taking all the 366 points and solve as time series also
4:16 can u explain this part pls, you are something in command prompt..please please explain
@@laxmipandurangan4046 'yfinance' package installation nu net la search pannunga, u will get the commands for installation copy paste it it command prompt after that u can import it inside jupyter notebook and use
@@ds_with_keerthi let me try this and get back to u. Many many thanks for your reply.
Akka which courses can i finish to become data scientist and how i practise i dont know ka😢
@@Michael55-bf4ty Hi I need to know about your background and interests first, I'm taking 1:1 sessions here, you can book a session and we can discuss more topmate.io/keerthana_selvam