Handwritten Digit Recognition on MNIST dataset | Machine Learning Tutorials Using Python In Hindi

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[CodeWithHarry]

Update 2025: I have launched a fresh Data Science course with all the modules required to become job ready. If you are seeing this comment, the course is on an early bird offer.
The course comes with Handbook, projects and fresh content
I look forward to see you in the course

[ManishKumar-fktw]

My name is Manish Kumar
Thank you so much sir Mai aap ka c programming ka video dekha aur mujhe itna achha laga ki Mai aapka Sara video dekhana chhahta hu
Mai jab bhi search karta hu to Sabse pahle aaphi ka video search karta hu
Thank you so much sir mai aapka jitna tarif karu kam hai. Kyo ki mujhe aapka samjhane ka concept bahot power full laga

[surjithsundaresan]

its your greatness that when u got wrong you showed us also to solve it using other websites like stackoverflow. keep it up mann

[CodeWithHarry]

I have recently started a new Python course on my English channel ProgrammingWithHarry:
where I will be analyzing each and every submitted exercise solution in depth. So make sure to solve the exercise there if you want me to analyze your solution and want me to give some suggestions to you regarding your solution.

[Gamerboy.]

//this format is correct harry bhai x_train, y_train= x_train.iloc[shuffle_index], y_train.iloc[shuffle_index]
not this x_train, y_train = x_train.[shuffle_index], y_train.[shuffle_index] please check your source code and if we are converting y_train and y_test to int and if we compare with string in y_train_2 it will give error beacuse we have converted it in int so we don't need string to compare in y_train_2 we need an int so we remove double quote i have tried it that's why i am saying this and thank you harry bhai you are an inspiration for me

[AbhishekKumar-imxd]

First check ::
print(type(x)) -> Its is a Data Frame not a numpy array, we should first convert x to numpy array before performing any operation

Do ::
x = np.array(x)

now we can evaluate it like ::
x[0],
x[36000],
x[65487]

It's better than writing np.array(x.iloc[36000])

hope, that it helps !!!

[madhukark]

Sir, The way of your teaching is far better than our lecturers.We learned everything from sratch without getting bored.Interesting Tutorials.

[TheFahad]

fetch_openml has made changes to its API so if you are accessing the dataset as a pandas Dataframe you can use [mnist = fetch_openml('mnist_784', as_frame=False)] to load it as a NumPy array.

[krushnabodake]

please change:
x_train[shuffle_index], y_train[shuffle_index] = x_train.iloc[shuffle_index], y_train.iloc[shuffle_index]

[whatashowoff]

Import numpy as np
x=[36000] change to np.array(x.iloc[36000])

[ankitjaiswal]

Bhai aap se bdiya aaj Tak kisi ne nahi padaya specially in ML. Bahut bdiya tarike se samjhaya aapne. Keep teaching..

[aboutbusiness.]

When he say "Agr ap ya video dakhty ho 5, 6 sall bad" i looked at date of upload and it's been 4 years Now❤❤

[karansharma]

Although you are teaching word by word from oreilly book but still i appreciate because i dont have time to read that book and you are covering nearly a whole chapter.

[amanupadhyay]

great work sir!!! ....BIG
#Can you please add more content on the topic like face detection project through (openCV)
#I just want to learn each and every concept from you.
Best teacher for machine learning till

[dhavalrathod]

learning from you in quarantine thanks i was doing from book and not able to understand .you made it easy

[rashmibenni]

Wow Harry jus loved it...enjoyed coding wit UA channel... Grt job🔥

[indranilsarmah]

Harry Bhai,

You are such an amazing person. Your determination and decdication is really appreciable.

Providing these vedios, in such a understandable way makes become smart boy of my class.

Beginners course for python, ML stuffs, and now JavaScript vedios are really very helpfull me and fellows like me.

Thanking you up for bringing this vedio also.On text recognition.

♥️

[mini_xol]

Harry bhaiyya, I am getting an error. I can't import fetch_mldata. Please help me with this. I have an interview tomorrow

[KhanKhan-xotb]

great sir. good information about MINST .thanks sir🥰🥰🥰😍😘

[arpitagec]

Great👍! Pls cover statistics part so as to make ML concepts very clear. ☺️