Sklearn Random Forest Classifier (Digit Recognition Example)




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#RandomForests #Classifier #DataScience #ScikitLearn #DigitClassification #DataAnalytics

Image Classifiers are used in many places in the industry, In this tutorial we use Digit classification example. We use Random Forest Classifier in this particular video. Other Machine learning algorithms can be similarly used.

We will be using sklearn Machine Learning library of python to make our Handwritten Digit Recognizer from MNIST Handwritten digit dataset.

The data set can be obtained from :
https://www.kaggle.com/c/digit-recognizer/download/train.csv

The kaggle competition for this is can be found here : https://www.kaggle.com/c/digit-recognizer/

For all Ipython notebooks and datasets, used in this series : https://github.com/shreyans29/thesemicolon
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Comment List

  • The Semicolon
    November 30, 2020

    Thank you so much for the video! Where could we find the dataset?

  • The Semicolon
    November 30, 2020

    Thanks you made it easier to understand

  • The Semicolon
    November 30, 2020

    I cant find the mnist.csv in github

  • The Semicolon
    November 30, 2020

    Hi but if I have a short video low resolution of an action how can we extract them or classify them in the same way? Can I have ur email, please?

  • The Semicolon
    November 30, 2020

    great series

  • The Semicolon
    November 30, 2020

    how to intregate this in android app?, that it can predict from camera captured images?, i mean what the next step

  • The Semicolon
    November 30, 2020

    a.reshape(28,28).astype('uint8') is doing what ?
    please expain

  • The Semicolon
    November 30, 2020

    Nicely explained

  • The Semicolon
    November 30, 2020

    Excellent! it was simple but very useful.

  • The Semicolon
    November 30, 2020

    hi! thank you for your tutorial… may i know how do you have pixel value till 783?
    or is there anything more to those titles as pixel 0, pixel 1….pixel 783?

  • The Semicolon
    November 30, 2020

    getting : FileNotFoundError: File b'mnist.csv' does not exist

  • The Semicolon
    November 30, 2020

    Hi ,thanks for the video
    my question: at 4:03 you refer to a previous tutorial, could you possibly share a link to this video?

  • The Semicolon
    November 30, 2020

    Simple and useful. thanks.

  • The Semicolon
    November 30, 2020

    Beautiful. Thank you so much. How to calculate the accuracy on the test.csv?

  • The Semicolon
    November 30, 2020

    il y a 6 mois
    #from sklearn.cross ca ne marche plus 🙁

  • The Semicolon
    November 30, 2020

    question, if I create an image in Photoshop that's 28 x 28 pixels, how can it be converted to the format that the mnist data set is in. I guess it would be to vectorize it.

  • The Semicolon
    November 30, 2020

    excellent

  • The Semicolon
    November 30, 2020

    #from sklearn.cross_validation import train_test_split
    cross_validation.py:44: DeprecationWarning: This module was deprecated
    in version 0.18 in favor of the model_selection module into which all
    the refactored classes and functions are moved.

    Solution:

    #from sklearn.model_selection import train_test_split

  • The Semicolon
    November 30, 2020

    when i am writing the code given in the above github link in my jupyter notebook ,mnist.csv file not found error is coming.I'm not understanding where to put my train.csv file downloaded from kaggle link in which drive??Please help me i have screwed so many stackoverflow repositories but not able to load my mnist dataset in my jupyter ntebook.Any help will be appreciated.

  • The Semicolon
    November 30, 2020

    Thanx. Nice get through via coding examples. Can you please upload the get through and coding example of Support Vector Machine algorithm in python.

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