Thank you so much for the tutorials, easy to practice and good to understand the algorithms basics. Feels nice to see Indians sharing knowledge to the world :)
Thank you so much for your clear explanation and demonstration! It is really helpful! And it saves me because I have been stuck at one of my class assignments for more than two weeks. I am really grateful for your help!
A great explanation: short, simple, concentrate only in a basic examples without additional tools that would make it more sophisticated but less clear. When I'm looking for an "Hello world" example, that's exactly what I need. Thanks!
I am currently doing my research(project) in Machine Learning(Iris Matching). I would be so happy to hear from you, my email address, darelasisi@gmail.com. Thanks.
Everybody are teaching in advance way in TH-cam which is diffiicult of beginners to learn it but when I watched this video I felt over the moon because I had been searching video in this topic from few days. Thank you so much for this amazing and well understable tutorial
I pursued data science twice just to understand these concepts..but couldn't understand these concepts. And this what always kept me back from achieving my dream job as ds. But now after watching this video it makes my life easy in understanding the concepts. I hope 🙏 i soon excel in ds..😊😊.
Thanks for not adding advertisements in middle of the video it creates distribution, some channels are doing this for money not for studies purposes..✌✌great tutorial 👍
Excellent explanation! Thanks a lot!!, methodology is quite straight forward, however in my experience (short by now), we need to determinate which is the best classifier to use based on the data investigation, mainly using data visualization tools and then prepare the data previously to process it.
Thanks so much mate, yours is the first video I've found which hasn't used the iris dataset for this. The iris dataset from Sklearn confuses the hell out of me with its different commands.
Now I got to know Score or MSE or Cost function before I was thinking how to get MSE , we can check accuracy of our model by using train and split method in skicitlearn
Hello sir, I'm regularly watching your videos. These are very helpful. You are doing a great job. Could you upload more projects of data science? Thanks a lot.
Hai Sir, Your videos are awesome.iys clearly understandable.i have one request is that could you take one data sets from kaggle and explain to is hole life cycle of data scientist and ML ,DL engineers will do actual practically...means step by step clearly 1.Data Mining Part..total.. 2.Data analytics or analysis part 3.data visualization part 4.Data scientist part 5.ML part 6.DL part
Hi, In case of regression problems, model.score () function returns R - Square value and it doesn't have anything related to accuracy. Accuracy is measure used only in classification problems.
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Thank you so much for the tutorials, easy to practice and good to understand the algorithms basics. Feels nice to see Indians sharing knowledge to the world :)
Shanthi, I am happy you liked the content.
All the best python tutorials i saw were made by indians ahah and I'm from Italy lol
Thank you so much for your clear explanation and demonstration! It is really helpful! And it saves me because I have been stuck at one of my class assignments for more than two weeks. I am really grateful for your help!
A great explanation: short, simple, concentrate only in a basic examples without additional tools that would make it more sophisticated but less clear.
When I'm looking for an "Hello world" example, that's exactly what I need.
Thanks!
Geri, "hello world" is a very accurate way of describing my content. Thanks for posting a comment.
It really helped me in completing my final year project. Thank you and all the best.
I am currently doing my research(project) in Machine Learning(Iris Matching). I would be so happy to hear from you, my email address, darelasisi@gmail.com. Thanks.
Can you share details of your project
can you say what project are you doing and which department u belongs to?
@@DARELASISI can you say what project are you doing and which department u belongs to?
@@sudharsanb9391 mail her
Everybody are teaching in advance way in TH-cam which is diffiicult of beginners to learn it but when I watched this video I felt over the moon because I had been searching video in this topic from few days.
Thank you so much for this amazing and well understable tutorial
Yes, it definitely helps to have someone explain the basics instead of copy/pasting 300 lines of code and expecting me to know what is happening.
52 seconds in and i already understand. Thank you
thANKYOUUUUU SIR ACTUALLY YOUR LECTURES ARE THE BEST SHORT AND CRISP INTERESTING AND EASY TO UNDERSTAND IT IS HELPING ME WITH MY PROJECT
I pursued data science twice just to understand these concepts..but couldn't understand these concepts. And this what always kept me back from achieving my dream job as ds. But now after watching this video it makes my life easy in understanding the concepts. I hope 🙏 i soon excel in ds..😊😊.
Your videos are awesome and are making me stay above water in my Data Science class. Thank you!!!!
Dude thank you so much! Your videos have been getting me through my computational summer research for the past 2-3 months!
I am happy this was helpful to you.
You're my fav go-to-youtuber for ML at the moment! :D
Glad to hear!
superb explanation
Well detailed. It just solved a problem I have been facing for weeks
Akande I am glad you found it useful 😊
Thanks for not adding advertisements in middle of the video it creates distribution, some channels are doing this for money not for studies purposes..✌✌great tutorial 👍
Amazing sir, itna complex topic itna easily samja diya
I am very new to ML, excellent video content. Thanks
Excellent explanation! Thanks a lot!!, methodology is quite straight forward, however in my experience (short by now), we need to determinate which is the best classifier to use based on the data investigation, mainly using data visualization tools and then prepare the data previously to process it.
Your videos are always precise, short, simple and clear in explanation of the topic! I love the way you teach it. Thank you !
Glad you like them Ramana!
Thank you so much Sir, You explain every line of code and why we use that code, it's solve my problem
Glad to hear that
Amazing video with a precise and clear explanation of the topic! Thank you very much!
Finally understood exactly how to use the function after watching this video, thanks!
You finally made me understand this method 😱 thanks alot brother 😘
Yash 97, I am glad you liked it.
This was extremely helpful, thanks
Glad it helped!
Thank you very much for this wonderful explanation 😊
Greetins from Brazil. you got a powerfull content here. thanks a lot
Test ❌
Taste ✅
But seriously amazing explanation, loved it
the explanaintion was clear like the water! thanks Sir!
Super video series! :) Keep up the great job! Looking to see more of these indepth videos on Python ML in the near future.
Dear Yash, thanks for comment. I will keep uploading more videos. Stay in touch and keep sharing. Thanks.
Brilliant Video Sir, Great Explanation
Awesome 👍
Very simple and clear explanation for beginners
I am glad you found it useful 😊
@@codebasics Thanks for the video. Using this video, I successfully trained my model for iris database :)
Another good example for machine learning,thanks.
Please keep on making such easy understandable projects 😅
Brilliant videos my friend, keep it up!
I am glad you liked it
Sir Very Nice explanation and with practical
BRO THIS MADE SO MUCH MORE SENSE NOW
Friend... Very Nice way you have explained each and every thing... Thanks for such tutorials
You have fantastic tutorial. Great.
Sundar, Thanks for the comment. By the way I like your name :) Same as Google CEO.. ha ha...!
Great video, simple and straightforward!
Glad it was helpful!
This was a great video for understanding the fundamentals of this topic. Thank you so much for sharing.
Thank you for this easy to understand explanation.
Mind Blowing ✨Really Love it
Nice example sir
I benefited from your tutorial, thank you.
Thanks so much mate, yours is the first video I've found which hasn't used the iris dataset for this. The iris dataset from Sklearn confuses the hell out of me with its different commands.
Glad you found this useful 😊👍🙏
As usual awesome video, please put a series on either NLP, Speech Recognition or DEEP Learning....eagerly waiting for your new videos
Thanks Its really help to complete my assignemnt
Thanks for this amazing tutorial.
very useful vid sir. thank u so much.
Excellent woow video
Ujjcwal, I am glad you liked it
Super easy explanation..thanks !!
This video is excellent!!
Glad it was helpful!
Thank you very much. Your explanation was very clear and straight forwarding.
wonderful, today i learn how to split the data set and implement Linear regression modewl
Thats a nice video! You are awesome !
All clear! God blessed you!
Glad it was helpful!
Superb Sir, It really helps me a lot, I took a course from udemy data science by Bootcamp, but It didn't explain like you.
Glad to hear that.
great work, the way you teach is very smooth keep it up
I am happy this was helpful to you.
Great presentation. Easy to understand. Thank you
Glad you liked it Paul
Amazing video !
Glad it was helpful!
very helpful and easy to understand! thank you!
very good sir
nice crystal clear...
Now I got to know Score or MSE or Cost function before I was thinking how to get MSE , we can check accuracy of our model by using train and split method in skicitlearn
THANKS YOU ARE SIMPLY GREAT.
Very helpful
Thanks for your tutorial
Simply great, very easy to understand
excellent
This is an amazing content . Thanks sir .
Glad it was helpful!
Very well explained thank u
Hi thanks for this tutorial!!! Can you provide us with the data excel data please?
Can not thank you enough! Fantastic work
Glad it helped!
This is great, thank you. Could you explain how validation data comes into play?
Thank you very much, this is quite clear!
Very useful!
Glad it was helpful!
Great video man!
Really Excellent dude! Keep it up.
Thanks a lot!! Was of great help
Glad it helped!
you are the best
Thanks a lot. Superb teaching
exactly what i was looking for thankyou so much
clear, short and simple. Thank you.
Shahar, thanks for posting the feedback buddy.
very nice , please upload math and code of logistic regression etc
ooho thank you
You're awesome man
Thanks for explaining this to me.
Glad it was helpful!
Hello sir, I'm regularly watching your videos. These are very helpful. You are doing a great job. Could you upload more projects of data science? Thanks a lot.
good explanation.
it's really helpful thanks a lot
Glad it helped
Great video!
woooow thak you ...you just clear my biggest doubt before the night of practical exam!!!!!
Great, good luck on your exam soham. 👍😊
thank you so much sir for everything
Hai Sir,
Your videos are awesome.iys clearly understandable.i have one request is that could you take one data sets from kaggle and explain to is hole life cycle of data scientist and ML ,DL engineers will do actual practically...means step by step clearly
1.Data Mining Part..total..
2.Data analytics or analysis part
3.data visualization part
4.Data scientist part
5.ML part
6.DL part
Hi,
In case of regression problems, model.score () function returns R - Square value and it doesn't have anything related to accuracy. Accuracy is measure used only in classification problems.
Thank you sooooo much!
That was helpful
Nice explanation...I want to ask why did you not use MinMaxScaler or StandardScaler here?
Thanks for the explanation. I think the test set shouldn't be touched, so I'm not sure what you did in the end was correct.
This way is better useful to all user which are following still to get job easily....further concepts will include