among the many youtube channels for newbies and new learners, you sir are a legend, very well explained.
@HackersRealm3 жыл бұрын
Thanks for your kind words!!!
@monicapereznogueras73837 ай бұрын
I've only seen 7 minutes of this video and I already love you!! Thank you very much for taking the time to explain all of this. I will watch all the videos on your list😍
@HackersRealm7 ай бұрын
Glad the videos are useful!!!
@Broly_the_broccoli6 ай бұрын
honestly this video is the bestttt i have seen many other videos but you sir nailed it !!
@aarohigupta42862 ай бұрын
Module execute ni hore kya kare
@boualisabrina82303 жыл бұрын
Thank you very much for the detailed explanation # From Algeria🇩🇿 #😊🙌✨
@HackersRealm3 жыл бұрын
You're Welcome!!!
@sanchitarajapure94313 жыл бұрын
The best explanation for beginners. thankyou so much :)
@HackersRealm3 жыл бұрын
Glad you liked it!!!
@ishanpathak29063 жыл бұрын
Thnx a lot bro , this video made my day , honestly. Luv u bro 👍🏻👍🏻👍🏻 . Even Udemy mentors don't explain in such details.
@HackersRealm3 жыл бұрын
Glad it was helpful!!!
@b-lifestyle7263Ай бұрын
Thanks for your clear tutorial. However, I have a question about correlation. Based on the correlation table, since I am using K-means to cluster, I chose a pair with a correlation value that is neither too high nor too low. Therefore, I selected -0.11, which corresponds to SepalLengthCm and SepalWidthCm. But when I calculated the error using SSE in all cases, the pair with a correlation of 0.96 had the smallest error. Could you help me understand why? Thanks once again!
@ibrahimahmethan5863 жыл бұрын
thank you very much, my question is which kind of supervised machine learning algorithms are used in this project?
@HackersRealm3 жыл бұрын
all the algorithm used are supervised only!!!
@jitendratrivedi78892 жыл бұрын
Well explained. Request you to please post series only data cleaning/preprocessing/Mathematical /EDA operations in python..
@HackersRealm2 жыл бұрын
I will definitely try to cover the concepts separately
@mahaalsalman23232 жыл бұрын
Thanks a lot for the very well and clear explanation , it is really help
@HackersRealm2 жыл бұрын
Glad it was helpful😄
@HensiThakkar3 жыл бұрын
I want to deploy this using flask so how to save model?
@nicdemai2 жыл бұрын
You were getting 100% accuracy because the Jupiter notebook kernel stores the previous model so when you shuffle and re-train your KNN and Logistic model it effectively learns the new patterns and adapts to them. in the end, you end up testing on data it has already seen before.
@HackersRealm2 жыл бұрын
each time when we are running the cell, the model variable is initialized again, so it won't use the previous model.
@Aspirant0173 ай бұрын
raising this error ValueError: could not convert string to float: 'Iris-setosa'
@ca2hill2 жыл бұрын
This was amazing. Very useful!!! Thank you so much.
@HackersRealm2 жыл бұрын
Glad it was helpful!!!
@nikhilpingale21113 жыл бұрын
very nice tutorial... easily understandable..... thnq soooooooo much
@HackersRealm3 жыл бұрын
Always Welcome!!!
@RahulRaj-cy1xb3 жыл бұрын
Thanks i got 100% accuracy
@souhamahmoudi77452 жыл бұрын
Thank you very much, that's super helpful !
@HackersRealm2 жыл бұрын
Glad you liked the content!!!😄
@mmt923 жыл бұрын
Nice, one question how do you get a dropdown suggestions in the notebook, I can't get it?
@HackersRealm3 жыл бұрын
try to press tab or shift+space to get suggestions!!!
@chandanar82783 жыл бұрын
Hi I was working in the same way on the google collaboratory. In the correlation part I enterd df.corr(), it says df is not defined. Can you please help me out?
@HackersRealm3 жыл бұрын
you have to run the cells from the start, dataframe should be loaded...
@chandanar82783 жыл бұрын
@@HackersRealm Thank you so much Your vedio was very helpful
@HackersRealm3 жыл бұрын
@@chandanar8278 Glad you liked it!!!
@saturng52073 жыл бұрын
Thanks buddy it was just awesome.
@HackersRealm3 жыл бұрын
Glad it was helpful!!!
@niteshprajapat79183 жыл бұрын
The session was awesome.. I have worked on it before... But can you tell me where to start ML and Maths stuff , any channel name?
@HackersRealm3 жыл бұрын
you can refer andrew ng course, or you can check the playlists in my channel that covers ml concepts
@niteshprajapat79183 жыл бұрын
@@HackersRealm ohk Sir, andrew ng's YT course is similar as coursera's course ?
@HackersRealm3 жыл бұрын
@@niteshprajapat7918 yes
@niteshprajapat79183 жыл бұрын
@@HackersRealm ohk, Thank u Sir 😀😀
@satyanshpandey50023 жыл бұрын
it was awesome. thank yo so much sir
@HackersRealm3 жыл бұрын
Glad it was helpful!!!
@inxi89872 жыл бұрын
Predict part?
@HackersRealm2 жыл бұрын
you can check this video for prediction and deployment kzbin.info/www/bejne/aH3Uo5l7r9p8g80
@kurmarao79713 жыл бұрын
This video was good, but with accuracy how do you conclude what amount of species belongs to diff groups?
@HackersRealm3 жыл бұрын
You can use classification report module to get a detailed report for each classes
@banjofikayo8 ай бұрын
Please can i use this same exact process for another dataset for example like a dataset that contains histological images that will be used to detect and classify colorectal cancer
@HackersRealm8 ай бұрын
for image dataset, you could use other projects which are similar in the playlist... or you could use some snippets from the projects for yours
@firstlast-wz9jv Жыл бұрын
very detailed explanation
@HackersRealm Жыл бұрын
glad you liked it!!!
@Phoenix-ju8hf2 жыл бұрын
The video was great but i have a doubt what did we achieve at the end after applying so many model like what we did to data or changed something or classified them what did we do at end what is the reason why we trained the model i am a newbie
@HackersRealm2 жыл бұрын
you can use the model to classify the flower type based on the input. check this video for remaining part kzbin.info/www/bejne/aH3Uo5l7r9p8g80
@Phoenix-ju8hf2 жыл бұрын
@@HackersRealm thankyou soo much ❤️
@Manu-fz3ud3 жыл бұрын
Sir how to link front end to the code. While we give input it is not responds tell the solution.
@HackersRealm3 жыл бұрын
for frondend, you can use flask to send the data for the model to predict, but it's a long process as you have to create some functions for processing
@tudorradu58487 ай бұрын
great tutorial
@HackersRealm7 ай бұрын
Glad you liked it!!!
@__8rt_for_life__2 жыл бұрын
Hi sir were did u get csv file because when i am trying it, its shows that no such file in content
@HackersRealm2 жыл бұрын
you can get it from the github code repo also
@__8rt_for_life__2 жыл бұрын
Thnx sir i got it ✌🏻
@liamjeske97992 жыл бұрын
Part of the video is severely distorted when I attempt to watch it but when I hover over a piece of the video with my mouse, a preview of what the video should be appears clear.
@HackersRealm2 жыл бұрын
i think the video is clear, it may be an network issue or in youtube. Please check it again as I didn't get the issue so far
@Pawan83402 жыл бұрын
First of all How I can i download this iris dataset as CSV file. I am facing lots of problem.
@HackersRealm2 жыл бұрын
You can get it from the github repo in the description, it's easy
@ramyasri68453 жыл бұрын
Well explained
@adityaraj-j9k4t3 ай бұрын
sir df.corr() gives error, that cannot convert string into float please resolve the issue
@Yett1hhh3 ай бұрын
df = df.select_dtypes(include=[float,int]) df.corr() this worked for me
@HackersRealm3 ай бұрын
this code will work
@mohamedessam14732 жыл бұрын
Thank You Mam
@alamazahreh64232 жыл бұрын
hey sir, thank you for the amazing video! is there a video how to handle csv files in os, i want to import data from os, a set of csv files and visualize them any video please or documentation
@HackersRealm2 жыл бұрын
you can see dogs vs cats classification and some other project videos, I have loaded data using os module and processed it
@alamazahreh64232 жыл бұрын
@@HackersRealm thanks for your reply, but in your video you have 2 files what if i have 3 files, the if is goning to be different how can i write my if please?
@HackersRealm2 жыл бұрын
@@alamazahreh6423 you can add elif statement; you have to change the logic accordingly!!!
@alamazahreh64232 жыл бұрын
@@HackersRealm ok!!!!!
@chytrams92173 жыл бұрын
is this DECISION TREE based ??plz reply
@HackersRealm3 жыл бұрын
I used different algorithms for this project
@brandonzamani83443 жыл бұрын
Decision Tree and 3 other models are discussed.
@--CSEMusfiraYaseen3 жыл бұрын
Hi sir. I'm working on collaboratory. It's giving an error if I go with "species" how will it be resolved?
@HackersRealm3 жыл бұрын
it doesn't matter what you use, the flow remains the same after loading the dataset
@yanamalaneelima29056 ай бұрын
df.corr() , it's showing value error , how to rectify it sir?
@HackersRealm6 ай бұрын
Could you drop the output column and try again?
@mr.khateeb69676 ай бұрын
Create a new Variable Name ex iris=df.drop(columns="Species") And apply Correction iris.corr () This will work
@bhawanashukla790 Жыл бұрын
ValueError: could not convert string to float: 'Iris-setosa' I am getting this error while applying the correlation by writing a code df.corr( ) could you please explain how to fix it.
@HackersRealm Жыл бұрын
Try to remove the colomn, or convert that column using label encoding
@thequitecat3934 Жыл бұрын
@bhawanashukla790 same here. did you solve it ?
@ayushsonkar1788 Жыл бұрын
did u solve the problem? How?
@Ally.0768 ай бұрын
Solution is df = df.drop(columns = ['Species'])
@akshatverma8387 ай бұрын
@@Ally.076 where shoul i put this line of code
@Chick0714 Жыл бұрын
tqs for video
@yashpandit19803 жыл бұрын
in scatterplot the representation of all the the 3 colors is not executing....1 color is missing
@HackersRealm3 жыл бұрын
you can mention any color you want, of the 3 colors
@dhanabommakanti36202 жыл бұрын
do we have to download the csv file to run the notebook
@HackersRealm2 жыл бұрын
yes
@dhanabommakanti36202 жыл бұрын
I'm running jupyter notebook using classification algorithm.... and I have worked on histograms, scatterplots and heatmaps.... i have a doubt in here.... that can we also draw pie charts and box plots using the same data? And is there any perception like we can plot only some type of plot based on the data we have or we can plot all type of plots?
@HackersRealm2 жыл бұрын
@@dhanabommakanti3620 it depends on the analysis you want to do, if you create box plot here, you can check for outliers. Each plot has specific insights we can get
@srishtychauhan27643 жыл бұрын
What is the point of shuffling?
@HackersRealm3 жыл бұрын
it will trained the data from different points
@Manabadikavali2 жыл бұрын
Good teach knowledge
@HackersRealm2 жыл бұрын
Thanks for your kind words!!!
@bonyy072 жыл бұрын
shouldnt we drop the duplicate rows ?
@HackersRealm2 жыл бұрын
is there any duplicate rows in the data? i think the total data is 150 only
@Pratyush_Chourasia3 жыл бұрын
Thank u sir♥️♥️
@HackersRealm3 жыл бұрын
Glad you liked it!!!
@pritam.37402 жыл бұрын
Thanks brother
@HackersRealm2 жыл бұрын
😇😇🤩
@anvithkumar10554 жыл бұрын
please continue series bro
@HackersRealm4 жыл бұрын
This week, will post a video for regression project
@aqarabhusnain12712 жыл бұрын
how I can convert my data (from excel) to iris dataset.
@HackersRealm2 жыл бұрын
you can read the excel using pandas and use the same workflow
@aqarabhusnain12712 жыл бұрын
@@HackersRealm will you provide a link please
@HackersRealm2 жыл бұрын
@@aqarabhusnain1271 there is no link for this, instead of read_csv, use read_excel
@beautifulworld92932 жыл бұрын
Too good
@HackersRealm2 жыл бұрын
Glad you liked it!!!
@adithyakrishnan.r22663 жыл бұрын
bro if i am doing as a project how to proceed it
@HackersRealm3 жыл бұрын
It is a project, i didn't get what you are asking....
@AakashJacobs4 жыл бұрын
Nice tutorial. ❤️
@HackersRealm4 жыл бұрын
Thank you! 😊
@ramavathpriyanka72893 жыл бұрын
Im not getting the scatter plot properly i.e, Im not getting all the three points pointed can any one pls help me out
@HackersRealm3 жыл бұрын
what error you are facing?
@thequitecat3934 Жыл бұрын
At first I got the same problem. But in my case I have written the flower name incorrectly so after correcting It got fixed.
@HensiThakkar3 жыл бұрын
How to save the model using pickle?
@HackersRealm3 жыл бұрын
you can normally store it using the model variable
@HensiThakkar3 жыл бұрын
@@HackersRealm can u plz tell me how to do?
@HackersRealm3 жыл бұрын
@@HensiThakkar Please connect through linkedin or insta for further queries!!!! Link in the description
@aarohigupta42862 ай бұрын
Upar ke modules execute ni hore ????kya kare?
@HackersRealm2 ай бұрын
which part is not executed?
@aarohigupta42862 ай бұрын
Accuracy bar bar 100 aarha h
@aarohigupta42862 ай бұрын
In last code I got 95%accuracy instead of 93 is this correct?
@HackersRealm2 ай бұрын
@@aarohigupta4286 yeah, the train test split might change each time if we run, so it's not an issue, to replicate same results, you can use random state in train_test_split.
@sasivardhanbonthu81593 жыл бұрын
explained better than edureka
@HackersRealm3 жыл бұрын
Glad it was helpful!!!
@jameshopkins35418 ай бұрын
I need an explanation. I got Nothing until now
@HackersRealm8 ай бұрын
which part is confusing for you?
@satyanshpandey50023 жыл бұрын
sir here i'm facing error AttributeError: module 'matplotlib' has no attribute 'scatterplot'
@HackersRealm3 жыл бұрын
try to reinstall the module using pip, that may help
@AK-cy3ql2 жыл бұрын
[Errno 2] No such file or directory: 'iris.csv'
@HackersRealm2 жыл бұрын
place the dataset file in same directory as the notebook file
@AK-cy3ql2 жыл бұрын
@@HackersRealm yes I did that, but I thought that dataset was inbuilt in the library and does not need to be downloaded separately and placed in the directory
@HackersRealm2 жыл бұрын
@@AK-cy3ql no for this one, you have to place in the directory
@ankitachauhan6037 Жыл бұрын
Awsm video can u check your dm actually i want to ask something related to AI course please check ur dm
@Hashim4x Жыл бұрын
🤍
@saviovnn3 жыл бұрын
starts adding PLSSSSS caption
@HackersRealm3 жыл бұрын
it will automatically generated by youtube
@saviovnn3 жыл бұрын
@@HackersRealm you are not, you have to enable it, add to the other videos thx
@HackersRealm3 жыл бұрын
@@saviovnn it's enabled, it will take some time to generate actually