Iris Dataset Analysis (Classification) | Machine Learning | Python
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- Опубликовано: 30 июл 2024
- ⭐️ Content Description ⭐️
In this video, I have analyzed the iris dataset in python with various techniques like EDA, Correlation Matrix, etc., The dataset has been trained with different models and got some good accuracy. You can check the testing and deployment of the model in the following video.
Iris Dataset Test & Deploy Tutorial: • How to Deploy Machine ...
Text-based Tutorial: www.hackersrealm.net/post/iri...
Dataset link: www.kaggle.com/uciml/iris
GitHub Code Repo: bit.ly/mlcoderepo
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🕒 Timeline
00:00 Introduction to Iris Dataset Analysis
01:24 Import modules and load data using pandas
04:27 Delete unnecessary column in Iris dataset
05:11 Statistics data information
07:01 Preprocessing the Iris dataset
07:57 Exploratory Data Analysis of Iris dataset
16:32 Correlation matrix for iris dataset
20:51 Label Encoding for output class
23:20 Splitting the data for training & testing
25:34 Model Training & Testing for iris species classification
31:45 End
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among the many youtube channels for newbies and new learners, you sir are a legend, very well explained.
Thanks for your kind words!!!
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😍
Glad the videos are useful!!!
This was amazing. Very useful!!! Thank you so much.
Glad it was helpful!!!
Thank you very much for the detailed explanation # From Algeria🇩🇿 #😊🙌✨
You're Welcome!!!
The best explanation for beginners. thankyou so much :)
Glad you liked it!!!
honestly this video is the bestttt i have seen many other videos but you sir nailed it !!
Module execute ni hore kya kare
Thnx a lot bro , this video made my day , honestly. Luv u bro 👍🏻👍🏻👍🏻 . Even Udemy mentors don't explain in such details.
Glad it was helpful!!!
Thank you very much, that's super helpful !
Glad you liked the content!!!😄
Thanks a lot for the very well and clear explanation , it is really help
Glad it was helpful😄
Thanks buddy it was just awesome.
Glad it was helpful!!!
Thanks i got 100% accuracy
very nice tutorial... easily understandable..... thnq soooooooo much
Always Welcome!!!
it was awesome. thank yo so much sir
Glad it was helpful!!!
I want to deploy this using flask so how to save model?
Thank You Mam
thank you very much,
my question is which kind of supervised machine learning algorithms are used in this project?
all the algorithm used are supervised only!!!
Well explained
tqs for video
Well explained. Request you to please post series only data cleaning/preprocessing/Mathematical /EDA operations in python..
I will definitely try to cover the concepts separately
Omg you deserve my sub !!!
Thanks mate😄
Nice tutorial. ❤️
Thank you! 😊
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.
each time when we are running the cell, the model variable is initialized again, so it won't use the previous model.
very detailed explanation
glad you liked it!!!
great tutorial
Glad you liked it!!!
Thank u sir♥️♥️
Glad you liked it!!!
Thanks brother
😇😇🤩
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
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
Nice, one question how do you get a dropdown suggestions in the notebook, I can't get it?
try to press tab or shift+space to get suggestions!!!
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?
you have to run the cells from the start, dataframe should be loaded...
@@HackersRealm Thank you so much Your vedio was very helpful
@@chandanar8278 Glad you liked it!!!
Hi sir. I'm working on collaboratory. It's giving an error if I go with "species" how will it be resolved?
it doesn't matter what you use, the flow remains the same after loading the dataset
This video was good, but with accuracy how do you conclude what amount of species belongs to diff groups?
You can use classification report module to get a detailed report for each classes
Sir how to link front end to the code. While we give input it is not responds tell the solution.
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
please continue series bro
This week, will post a video for regression project
Good teach knowledge
Thanks for your kind words!!!
Too good
Glad you liked it!!!
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?
you can refer andrew ng course, or you can check the playlists in my channel that covers ml concepts
@@HackersRealm ohk Sir, andrew ng's YT course is similar as coursera's course ?
@@niteshprajapat7918 yes
@@HackersRealm ohk, Thank u Sir 😀😀
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
you can see dogs vs cats classification and some other project videos, I have loaded data using os module and processed it
@@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?
@@alamazahreh6423 you can add elif statement; you have to change the logic accordingly!!!
@@HackersRealm ok!!!!!
Hi sir were did u get csv file because when i am trying it, its shows that no such file in content
you can get it from the github code repo also
Thnx sir i got it ✌🏻
First of all How I can i download this iris dataset as CSV file.
I am facing lots of problem.
You can get it from the github repo in the description, it's easy
Predict part?
you can check this video for prediction and deployment
ruclips.net/video/2LqrfEzuIMk/видео.html
raising this error
ValueError: could not convert string to float: 'Iris-setosa'
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.
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
in scatterplot the representation of all the the 3 colors is not executing....1 color is missing
you can mention any color you want, of the 3 colors
sir df.corr() gives error, that cannot convert string into float
please resolve the issue
df = df.select_dtypes(include=[float,int])
df.corr()
this worked for me
this code will work
is this DECISION TREE based ??plz reply
I used different algorithms for this project
Decision Tree and 3 other models are discussed.
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.
Try to remove the colomn, or convert that column using label encoding
@bhawanashukla790 same here. did you solve it ?
did u solve the problem? How?
Solution is df = df.drop(columns = ['Species'])
@@Ally.076 where shoul i put this line of code
bro if i am doing as a project how to proceed it
It is a project, i didn't get what you are asking....
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
you can use the model to classify the flower type based on the input. check this video for remaining part ruclips.net/video/2LqrfEzuIMk/видео.html
@@HackersRealm thankyou soo much ❤️
Im not getting the scatter plot properly i.e, Im not getting all the three points pointed
can any one pls help me out
what error you are facing?
At first I got the same problem. But in my case I have written the flower name incorrectly so after correcting It got fixed.
df.corr() , it's showing value error , how to rectify it sir?
Could you drop the output column and try again?
Create a new Variable Name ex iris=df.drop(columns="Species")
And apply Correction
iris.corr ()
This will work
do we have to download the csv file to run the notebook
yes
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?
@@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
shouldnt we drop the duplicate rows ?
is there any duplicate rows in the data? i think the total data is 150 only
explained better than edureka
Glad it was helpful!!!
What is the point of shuffling?
it will trained the data from different points
how I can convert my data (from excel) to iris dataset.
you can read the excel using pandas and use the same workflow
@@HackersRealm will you provide a link please
@@aqarabhusnain1271 there is no link for this, instead of read_csv, use read_excel
Upar ke modules execute ni hore ????kya kare?
which part is not executed?
sir here i'm facing error
AttributeError: module 'matplotlib' has no attribute 'scatterplot'
try to reinstall the module using pip, that may help
How to save the model using pickle?
you can normally store it using the model variable
@@HackersRealm can u plz tell me how to do?
@@HensiThakkar Please connect through linkedin or insta for further queries!!!! Link in the description
I need an explanation. I got Nothing until now
which part is confusing for you?
[Errno 2] No such file or directory: 'iris.csv'
place the dataset file in same directory as the notebook file
@@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
@@AK-cy3ql no for this one, you have to place in the directory
Awsm video can u check your dm actually i want to ask something related to AI course please check ur dm
🤍
starts adding PLSSSSS caption
it will automatically generated by youtube
@@HackersRealm you are not, you have to enable it, add to the other videos thx
@@saviovnn it's enabled, it will take some time to generate actually