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38 results found

  1. Linear Regression

    We can download a dataset about the carbon dioxide emissions and fuel consumption of automobiles. In the following steps, we divide our data into training and test sets, build a model using the training set, test the model using the test set, and then use the model to predict an unknown value.

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  2. 7rik

    Filter files by name
    //labs/Labs_V4/
    Name
    Last Modified

    Code

    Pyolite

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  3. GUIDE PROJECT IS BROKEN

    You tried to start a Guided Project with invalid markdown instructions. Please contact the Guided Project author to let them know their Guided Project is broken.

    CAN'T CONTINUE WITH THE LAB ACTIVITY

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  4. data collection using gaming methods

    Can we make a gaming software to collect data or surveys instead of filling google form, this would help people to give accurate data which will help for reasearch purposes in future

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  5. NIF only considers ideas/innovations of a) people from unorganised sector with little/no formal education or professional/technical training

    NIF only considers ideas/innovations of a) people from unorganised sector with little/no formal education or professional/technical training and b) students upto class 12. Kindly ascertain your eligibility for submission of any of your ideas/innovations before submission. Please write to us sd@nifindia.org for clarification if any.

    1 vote
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  6. I believe the anser to the following question is wrong.

    Retrieve the elements stored at index 1,2, and 3 of 'a_list'

    I suggest the answer should be:

    A[1:4]

    ['hello', [1, 2, 3], True]

    The suggested answer int he docs is "a_list[1:3]" which only returns two elements.

    1 vote
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  7. No rowcount restriction while browsing saved / uploaded data sheets.

    Pl tell me how can I remove the limit of records when browsing data sheets. No restriction of browsing rows in single page.

    1 vote
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  8. to use poly.transform() for test dataset instead instead of fit_transform()

    I notice that the polynomial model is fit and transformed on the training dataset and then fit_transform() again used on the test dataset which actually shouldn't be done since we basically shouldn't fit anything on test dataset.

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  9. Add "color" to rectangle's attributes in the explanation section for rectangles and in explanation of Figure 1.

    Explanation of the parent object in Figure 4 should say "Course" and not "Coerse". :-)

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  10. service credentials to use IBM Cognos Dashboard service

    Hai,

    I would like to use the IBM Cognos Dashboard service in the Jupyter lab. When I open the service, it asks for service credentials.

    How do I create a new service credential for the IBM Cognos Dashboard service?

    I don't see the "service credential" option after creating an instance of this service in IBM Cloud.

    Could you please help me with this?

    Thanks,
    Dharshak

    1 vote
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  11. Fix double import in example

    import itertools
    import numpy as np
    import matplotlib.pyplot as plt
    from matplotlib.ticker import NullFormatter
    import pandas as pd
    import numpy as np
    import matplotlib.ticker as ticker
    from sklearn import preprocessing
    %matplotlib inline

    you have a double import of numpy

    1 vote
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  12. 1 vote
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  13. 1 vote
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  14. Electronics

    Supplies, cor agents cat ina 5678945678975432 or orifices are you can use a student or orifices to

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  15. Better UX

    The header#global-navigation could be hidden when scrolled down.
    The notebook column could be also larger and its header could also be hidden.

    The UX is really terrible in the current situation. Less than 40% of the screen is used to really display the notebook content. Please, think about changing!

    1 vote
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  16. FTP Dataset Upload

    Please could you enable ftp for uploading datasets?

    1 vote
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  17. Select All

    Selecting Multiple file is a hassle, if I want to upload/move/delete multiple files at once I have to select them one by one which is not productive.

    I suggest "Select all" button and cursor selection feature.

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  18. Data Decision Making

    Data Decision Making

    1 vote
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