Python Exercise on Decision Tree and Linear Regression 

sr plz you make full tutorialon machin learning... mam is good but ur way of teaching i personaly like so make ur own vedio ....and it does not mean mam is not good ...i just like ur

anirban you are a very good teacher and researcher also.

High level teaching. I urge to please teach us at low level.

which dataset are you using?

in the linear regression we have mean_val_error, mean_test_error how to achieve the good accuracy means how to reduce this error

@15:36 ain't it called overfitting? ain't regression line should be smooth?

graph = pydot.graph_from_dot_data(dot_data.getvalue()) Image(graph.create_png()) Showing error 'list' object has no attribute 'create_png' please tell how to resolve

Thanks for the tutorial. Just one question: For the code: "plt.plot(x.reshape((len(x),1)),model.predict(x.reshape((len(x),1)),color='blue') why is it x.reshape, len(x) and not x_test.reshape, len(x_test)?

Good One

if I may it sounds like you are just reviewing for a test instead of explaining and giving examples of what your talking about?

Hello sir ,I am not able to execulte the code on my system using pycharm. Message comes instead which asks to enter jupyter notebook url and token kindle help me in this regard.

Not helpful very high level learning without previous knowledge no one understands this series I watch 15 videos but till I can't understand anything

NPTL github link @ 9:40

Probably Incomplete

Hello, Thank you so much for such a nice explanation. Please provide your email.