Ridge And Lasso Practical Implementation In Hindi

[@demon3769]

Very good sir u made these complecated algorithms easy for me and every one here

[@yunusshaikh7478]

Hello sir. I am very grateful for all the wonderful sessions you have recorded and shared here. I started loving these sessions. Kindly proceed with further topics in this chain, it would be really helpful.

[@paraguchbagle6413]

sir apka theory to sara smjh ata h bt application wale video smjh nhi aa rhe? where i am lacking

[@devangibari3141]

Thanks for your time

[@ghostofuchiha8124]

Why are we fitting and predicting on ridgecv or lassocv ; They are the instances for gridsearch ; Why are we not fitting our model on ridgeregressor or lasso regressor ? Once we get the value of alpha from grid search where are we using it ?? There seems to lot of confusion in this.

[@sliimjiim]

yes i had the same doubt, i guess he made a mistake

[@sliimjiim]

I just checked it, what he has done is correct. Its just that he didnt explain in detail about it. If you go by the regular way you shall use alpha value while creating the object of Ridge class. For ex- ridge = Ridge(alpha = 20) then ridge.fit(X_train,y_train)....

[@mitultank7872]

11:03 i think here r2_score(y_test, ridge_pred) as per the parameters in suggestion

[@Avsjagannath]

sir you used fun to find best alpha value ie 10 but you have not used alpha value anywhere

[@AmitSharma-oh5uw]

sir ap kya pdha rhe ho kuch smj to aa ni rha. hmara code bhi run ni ho rha hai

[@lug__aman]

sir please is play list ko complete kriye

[@supriyapathare]

sir could you share dataset for practice????

[@newgagets608]

Great Sr

[@as8401]

Sir hme Or clarity chahiye....

[@hari_1357]

Thank you sir

[@arshad1781]

Thanks