Important Notice:- One Step you can skip is converting X into np.array.....That is at 1:08 hour, i wrote X=np.array(X)......you can skip this step and can proceed with model splitting into training and testing as data is already in Numerical Form....
I never imagine that this much usefull things I learned just because I followed you on insta..thanks a lot bro: ) ... Ichipaddesav(In Vijay deverakonda style means "you just roking")
@Developer Ashish I have not watched this video yet but one thing I know for sure is you have a very Bright future mate, All the very Best, Keep believing in yourself, you have a long way to go Do not loose hope you are on a right track. Bless you
At 5:21 they have done that because there is decision tree regression as well as decision tree classification also. And the same is for random forest: Random forest regression as well as Random forest classification! There concept is same but purpose is different!
Can I understand this video I have learnt numpy panda and matlplotlib and some basic maths ? As I am beginner is it understandable . I dontknow anything about nlp deep learning things please reply sir ?
That was a great tutorial ✌️ and it seems there are many commands that I need to learn!😅 How did you manage to remember all these functions/commands/classes? It's really tough!😗 I will just say one more thing that try to give more explanation of small details like why you are using this function, command ,library , class! I know it's very difficult for such large projects but you try to upload the same project in smaller parts and not at one go thus improving the quality of your videos! KEEP UP WITH THE GOOD WORK!!!!
Bro I am actually of confused! You didn't used OneHotEncoder , you showed how it works right? Because I actually applied OneHotEncoder too that's why while using accuracy score i got this error :ValueError: multiclass-multioutput is not supported , right?
First of all great video sit ... I have a doubt while plotting the subplots the actual and predicted plot are exactly same as per my views I think there is an error in line 184 Axes[1]. Scatter You have used ( c = y ) which is same as Axes[1]. Scatter I think ( c = new_labels ) in order to take predicted array
Hey I heard this on Quora that almost all AI frameworks are written in C++! Python is just a tool to give command and interact with these frameworks!? Is it true??Can you explain this a little bit?
Yes, most python frameworks and libraries are written in c/c++/fortran because see python is a very high-level language as a result it isn't that much closer to the computer hardware and it's damn slow. But C/C++/Fortran are low-level languages as compared python as a result they're quite fast coz they're so much closer to the hardware(Just declare a list containing numbers of range say 10,000 crores and print the sum of the list and do the same with numpy array[written in c] and just compare the speed). Therefore these libraries are written in those languages to achieve the speed of the low-level languages w/o compromising the lovely python syntax.
Important Notice:- One Step you can skip is converting X into np.array.....That is at 1:08 hour, i wrote X=np.array(X)......you can skip this step and can proceed with model splitting into training and testing as data is already in Numerical Form....
I never imagine that this much usefull things I learned just because I followed you on insta..thanks a lot bro: ) ... Ichipaddesav(In Vijay deverakonda style means "you just roking")
Hey Anna, just saw this comment, thank you so much for this Rowdy feedback❤🙏😌
@@developerashish6849 hahahaa🥰😎😊
@Developer Ashish I have not watched this video yet but one thing I know for sure is you have a very Bright future mate, All the very Best, Keep believing in yourself, you have a long way to go Do not loose hope you are on a right track. Bless you
At 5:21 they have done that because there is decision tree regression as well as decision tree classification also. And the same is for random forest: Random forest regression as well as Random forest classification! There concept is same but purpose is different!
yes
Thanks bro, was waiting for this since a long time
Can I understand this video I have learnt numpy panda and matlplotlib and some basic maths ? As I am beginner is it understandable . I dontknow anything about nlp deep learning things please reply sir ?
anyone who knows just a basics of python can make this project ✌️
does we need to install python graphviz package.
bro can you pls tell how to plot the graph using plotly at 2:37:05
That was a great tutorial ✌️ and it seems there are many commands that I need to learn!😅
How did you manage to remember all these functions/commands/classes? It's really tough!😗
I will just say one more thing that try to give more explanation of small details like why you are using this function, command ,library , class! I know it's very difficult for such large projects but you try to upload the same project in smaller parts and not at one go thus improving the quality of your videos! KEEP UP WITH THE GOOD WORK!!!!
Yes!
thanks😊
Bro I am actually of confused! You didn't used OneHotEncoder , you showed how it works right? Because I actually applied OneHotEncoder too that's why while using accuracy score i got this error :ValueError: multiclass-multioutput is not supported , right?
He wont reply bro he just copy codes from other devs. And tells you about them and sometimes he just makes you fool
Awesome video but when I closed it and when I opened the project once again tha visualization are not visible
First of all great video sit ...
I have a doubt while plotting the subplots the actual and predicted plot are exactly same as per my views
I think there is an error in line 184
Axes[1]. Scatter
You have used ( c = y ) which is same as Axes[1]. Scatter
I think ( c = new_labels ) in order to take predicted array
Hey I heard this on Quora that almost all AI frameworks are written in C++! Python is just a tool to give command and interact with these frameworks!? Is it true??Can you explain this a little bit?
Yes, most python frameworks and libraries are written in c/c++/fortran because see python is a very high-level language as a result it isn't that much closer to the computer hardware and it's damn slow. But C/C++/Fortran are low-level languages as compared python as a result they're quite fast coz they're so much closer to the hardware(Just declare a list containing numbers of range say 10,000 crores and print the sum of the list and do the same with numpy array[written in c] and just compare the speed). Therefore these libraries are written in those languages to achieve the speed of the low-level languages w/o compromising the lovely python syntax.
Why i cant run iris.drop('Id', axis=1, inplace=True) sir ? Its says error
what error?
got a different accuracy in knn,88.88 y?
it happens
sir is this project enough to use as minor project for company interviews like tcs wipro and others or we should do some more advance???
no
Actually TCS wipro are does not recruiting ML they arerecruiting developers . you should make project on c++ or java not ML .
Bro we just use onehotencoder to create dummy variable
yes...
thanks sir
Bro you didn't tell that we have to install plotly and cufflinks separately on jupyter notebook? Well no harm I installed them now!☺☺
bro coz thats we all know that we need to install every module
in the beggining it is giving a module error about plotly.
What error u r getting? What exactly....if u can send a pic then send me on my Instagram, link in description
@@developerashish6849 module plotly not found
@@tippannawalikar5775 pip install plotly....or watch my Covid 19 Data Analysis video I have shown how to install plotly