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zakruti.com » IT - Software » freeCodeCamp.org
Scikit-Learn Course - Machine Learning in Python Tutorial

Scikit-Learn Course - Machine Learning in Python Tutorial

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Rating: 4.0; Vote: 1
Scikit-learn is a free software machine learning library for the Python programming language. Learn about machine learning using scikit-learn in this full course. - Code: https://github.com/DL-Academy/MachineLearningSKLearn - Scikit-learn website: https://scikit-learn.org https://github.com/DL-Academy/MachineLearningSKLearn - Scikit-learn website: https://scikit-learn.org -- Course from DL Academy. Check out their YouTube channel: https://www.youtube.com/channel/UCTgBlZ1fmNa87NUY1xvoxpg - View more courses here: https://thedlacademy.com/
Date: 2022-03-14

Comments and reviews: 10


label_mapping = --
'unacc':0,-
'acc':1,-
'good':2,-
'vgood':3-
--
y['class'] = y['class'].map(label_mapping)-
y = np.array(y)-
print(y)
getting error code in this so kindly help me .
error code-
IndexError Traceback (most recent call last)-
in -
6 'vgood':3-
7 --
----> 8 y['class'] = y['class'].map(label_mapping)-
9 y = np.array(y)-
10 print(y)-
IndexError: only integers, slices (-:-), ellipsis (-...-), numpy.newaxis (-None-) and integer or boolean arrays are valid indices

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After conversion of x , In Y
label_mapping = --
'unacc':0,-
'acc' :1,-
'good' :2,-
'vgood' :3-
--
y['class'] = y['class'].map(label_mapping)-
y = np.array(y)-
print(y)
its showing these error (IndexError: only integers, slices (-:-), ellipsis (-...-), numpy.newaxis (-None-) and integer or boolean arrays are valid indices).
Kindly help me for the same

reply

Hi, question. Is it possible to predict x values from y values after training the data set? I mean, give the program dependent variables and allow the program to predict the independent variables which gave those dependent variable? If anyone could answer this for me I'd very much appreciate it, it is for my final year project.
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32:08
instead of getting in to the file and adding the names of columns, one can use the following command
car_data = pd.read_csv('car.data', header = None)
car_data.columns = ['Buying', 'maint', 'doors', 'persons', 'lug_boots', 'safety', 'condition']

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Actually , I got frustrated as I 'm seeking for learning SKlearn from scartch , but unfortunately here the instructor is dealing with those having a pre-knowledge about the module and its components.
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good video....but pls use a better tool for explanation...I felt you are not comfortable in using Paint tool...please use One note or some other tool...content wise video is good..
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Hello FreeCodeCamp,
The mnist dataset isnt loading
i am getting this error : EOFError: Compressed file ended before the end-of-stream marker was reached
Kindly help.

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I will be very blunt. For a beginner, this tutorial SUCKS. Nothing is explained in great detail. Just a heads up- you will have to do a lot of searching...
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thumbs down because the video quality is terrible at 360P. Clearly out
of touch with viewer constraints, have seen many clearer videos at 360P.

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I have a few months experience with Python, and this was a great tutorial for me. I'm now more ready to start on intermediate ML tutorials.
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