Decision Tree In Machine Learning | Decision Tree Algorithm In Python |Machine Learning |Simplilearn
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- Опубліковано 2 чер 2024
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This Decision Tree in the Machine Learning tutorial will help you understand all the basics of the Decision Tree and how the Decision Tree algorithm works. In the end, we will implement a Decision Tree algorithm in Python on loan payment prediction. This Decision Tree tutorial is ideal for both beginners as well as professionals who want to learn Machine Learning Algorithms.
Below topics are covered in this Decision Tree Algorithm Tutorial:
0. Intro (0:00)
1. What is Machine Learning? ( 02:25 )
2. Types of Machine Learning? ( 03:27 )
3. Problems in Machine Learning ( 04:43 )
4. What is a Decision Tree? ( 06:29 )
5. What are the problems a Decision Tree Solves? ( 07:11 )
6. Advantages of Decision Tree ( 07:54 )
7. How does Decision Tree Work? ( 10:55 )
8. Use Case - Loan Repayment Prediction ( 14:32 )
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What is a Decision Tree Algorithm?
A Decision Tree is a supervised machine learning algorithm for solving classification problems. Generally, a decision tree is drawn upside down with its root at the top and it is known as the Top-Down Approach. Decision trees are used for handling non-linear data sets effectively. The decision tree tool is used in real life in many areas, such as engineering, civil planning, law, and business.
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We hope this video was useful. The link for the dataset used in the video is provided in the description. Thanks!
Like the demonstration and visualizations. Simple and Clear.
The Entropy formula of getting 0.57, I believe is using log base of 10. I tried log base 2 got around 1.91.
Thanks for the Video
Hi Li, thank you for appreciating our work. We are glad to have helped. Do check out our other tutorial videos and subscribe to us to stay connected. Cheers :)
Thanks for you clear explanation about what is decision tree. Is it mandatory to learn python language in order to more understand ML? What I only know and am comfortable with are Swift / C/ C++/ Obj-C.
Is there any link to see after we have trained the decision tree , how the model will run for another set of raw data? Such as, for the training, the result is provided in excel sheet but if it is not provided how the trained decision tree will predict?
This tutorial was precise and clear. I loved it. Thank you.
Glad it was helpful!
Excellent tutorial on Decision Tree Classifier. Thanks a ton. It was awesome.
@simplilearn Already you import tree for decision tree classifier. Then why could you import tree again in the last line
Hello. Nice explanation. Could you please send along the data set you used for the Use Case?
Also, I have a couple questions about the disadvantages of a decision tree. You say that the decision tree is high variance and low bias (at 9:02 minutes into the presentation).
#1. I am not sure why low bias is a disadvantage. Why is that?
#2. I assume that the closer the decision tree gets to zero entropy (i.e. each leaf contains only one class of data), the higher the variance and the lower the bias. Is that correct?
#3. I guess that the art of building a decision tree is finding the best sequence of splitting criteria to employ, and knowing when to stop splitting. I guess you can always continue to split until you reach zero entropy, but toward the end of that process you are just learning noise (overfitting). I assume that choosing the "best" sequence of splitting criteria essentially determines how soon you start learning noise.
Please comment on these three questions if you would.
Thanks
My question, the model is good and I understand what you have done. However as a newbie, how can I actually see the tree instead of seeing just accuracy scores everywhere if you understand what I am trying to say. As in, is there any way I can actually visualise the graph? Also how can I append my Y predictions to whether the person will be approved a loan to my original dataset? I am seeing everywhere people doing the usual sci-kit learn train test, modelling predictions and checking of the accuracy, but I don't see anywhere of people actually inputting one row of the data and seeing whether the person should be approved of a loan or not.
Are you able to help me on this? I can pm my email if needed.
Awesome tutorials by Simplilearn. I am a learner right now, and you guys are helping me a lot. Thanks a ton. Would request for the data set to practice.
Please send the data set to my mail id: tapasilh@gmail.com
Hi Tapasil, we are so happy you love our videos. We have sent the requested dataset to your mail ID. Do support us by subscribing to the channel and also by giving a thumbs up to our videos. Thanks. Please do keep checking back in.
Let me say thank you so much for this huge valuable work. It is so easy, you are a professional teacher.
Hey Hamzawi, thank you for appreciating our work. We are glad to have helped. Do check out our other tutorial videos and subscribe to us to stay connected. Cheers :)
Nicely done ! You have a like and a new subscriber.
Woohoo! We are glad to hear it and we welcome you to our community! Do check out our other videos and stay tuned!
I guess you should add minus sign before the entropy formula.
Thanks for watching our video and sharing your thoughts. Do subscribe to our channel and stay tuned for more. Cheers!
Helped me so much for my machine learning project1!!11 Thank you so much!
Hey Abdul, thank you for appreciating our work. We are glad to have helped. Do check out our other tutorial videos and subscribe to us to stay connected. Cheers :)
Hey there,
I tried to recalculate the entropy (12:45) and inserted the data in an online calculator as well as my personal calculator.. unfortunately, me and the online calc get an another result as you present in the video (1.905) with the exact same data using the same formula. So.. are you sure about the result??
He calculated them based on log10, would make no difference as long as in the last leafs it becomes 0 with any logarithm base
Just Woooow,the way you teach , simple and perfect!
WooHoo! We are so happy you love our videos. Please do keep checking back in. We put up new videos every week on all your favorite topics. Whenever you have the time, you must also check out our blog page @simplilearn.com and tell us what you think. Have a good day!
Very great video. Why was the tree function imported but it wasnt used anywhere?
Well explained. Enjoyed and got to understand decision trees better.
God bless you all!
Glad it was helpful!
thank you, really liked how you brake down each step to understand how the code works. Thanks
Thank you for choosing us as your learning partner. We are thrilled to hear that you enjoyed your experience with us! If you are looking to expand your knowledge further, we invite you to explore our other courses in the description box.
Thank You! I received all the required data sets.
Thanks Prabir :). Subscribe to our channel and get our new video updates directly into your email. If you have any questions related to these videos, you can post in the comments section, we will clear your queries/doubts.
Great explanation, simple to understand thank you!!!
Greetings! Thank you for your kind words. Spread the word by liking, sharing and subscribing to our channel! Cheers :).
Awesome tutorial. Simple and Clear explanations.
Hey Ella, thank you for watching our video. We are glad that you liked our video. Do subscribe and stay connected with us. Cheers :)
I have a doubt if my model is overfitting for logistic regression and decision tree . How should, i treat them ?
wow man.. its been a awesome session to learn a decision tree as simple as possible 👏👏👏👌
Glad to hear that!
kindly share this dataset to this gmail id : guhanathan05@gmail.com
Sent!
Thanks for your Video tutorial, It could be good enough if you plot and visualize them to make understand better
Hey Khadar, thank you for watching our video and for the honest feedback. We will definitely look into this. Do subscribe, like and share to stay connected with us. Cheers :)
Great job on the video! Just a very minor language correction. It should read affected and not effected on "Advantages of Decision Tree"s slide
Hi Hari, thanks for appreciating our work and pointing our mistake as well. We have forwarded this to the relevant department. Do support us by subscribing to our channel and hitting the like button. Cheers!
Thank you Simplilearn team for the clear explanation. Can you please provide the dataset and the python notebook used in the video?
Hello Aisha, thanks for viewing our tutorial and we hope it is helpful. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly.
Hey , I watched your video.And Its amazing. But when I trying to implement in my database its not working. As my database has some string values. So , How do I work on that.
Your videos are amazing! Could you please give me the dataset?
This is a great video, but I have a couple of questions. 1.) I understand that your model is ~94% accurate, but what "is" the model? 2.) How would a bank use it? Is it a formula that they plug numbers into, or is it a series of questions they ask to lead them to the answer?
The decision tree classifier is the model where the maximum depth and minimum leaf node parameters were set by the user. A bank can use a similar CSV file that is given as input in this video with all the information and feed it to such a model to get predictions.
Hi Taritro, thanks for your input! Cheers!
By model, we mean an algorithm( decision tree in our case) that has been trained with the relevant data. The bank uses similar data as is used for training to predict if the customer will repay the loan or not.
Thanks so much for that excellent video, everything is so clear
Glad it was helpful! Thank you for watching!
Hello team, it helped me a lot.. How can we do CustomerSegmentation with help of clustering and also Splitting the Train and Test Data.
You can check this video out: ua-cam.com/video/9U4h6pZw6f8/v-deo.html
Thanks for your video.Keep going on
Hey Sahaya, thank you for watching our video. We are glad that you liked our video. Do subscribe and stay connected with us. Cheers :)
Thanks a lot for this video tutorial !!
Glad that you chose us on your learning journey Pablo. Cheers!
I really amazed when i did not find good content and the last moment to quit, I hit upon a plan like thirsty crow and I search "Simplilearn" to satisfy my soul and knowledge . Really Appreciatable Efforts and carry on till last moment
We're so glad that you enjoyed your time learning with us! If you're interested in continuing your education and developing new skills, take a look at our course offerings in the description box. We're confident that you'll find something that piques your interest!
Your videos are really helpfull. Could you please provide the data set that you used in the video.
Thanks :)
ashishjindal1997@gmail.com
Hi Ashish, thanks for watching our video. I have sent the requested video to your email ID. Do subscribe to our channel to stay posted on upcoming tutorials. Cheers!
Good Examply. Kindly send the data set.
1) Please, Explain Arguments like criterion, random state, max depth, min simples leaf. In more depth.
2) Please, show how to the diagram o final decision tree after prediction in Detail.
Hello Gautam, thanks for viewing our tutorial and we hope it is helpful. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly.
can i reduce the compelixity of my decision tree model?
Thank you for this...
Hey Ayoola, we're glad you enjoyed this video! If you want to learn more, you can check out this playlist: ua-cam.com/video/ukzFI9rgwfU/v-deo.html
And don't forget to like, share and subscribe to our channel! :)
This video is very good & helps me in understanding the concept better. Can you send me the csv file.
Hi Haitham, please leave your email ID in the comment section below. We will send the dataset directly to your inbox. Thanks!
Hey! Great lesson Would be great if you'd share the data set too!!
Hello Manas, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
@@SimplilearnOfficial shashankkumar4263@gmail.com
Very clear tutorial.Can I please get a copy of the dataset used for the tutorial?
Hello, thanks for viewing our tutorial. You can find your requested dataset in the video description. Hope that helps.
Thanks for the video. The big-game hunter/poacher example can be replaced.
Thanks for the suggetion!
@ 09:00, is low biased model not the same as overfitting? Also, could you please elaborate how a model becomes unstable due to lack of variation in the data. Many thanks.
Hi Mazdak Sorosh,
"Overfitting occurs due to a low bias but high variance. Going by the bias-variance trade-off theory, if the variance is low, the complexity of the model decreases which is a good thing. But, the value of the bias increases which would give us inaccurate predictions."
Please share your doubts or feedback in the comment section below and we'll have our experts answer it for you. Thanks for watching the video. Cheers!
Simplilearn it is clear for me. Your reply is much appreciated. Thanks!
We are glad you found our video helpful. Like and share our video with your peers and also do not forget to subscribe to our channel for not missing video updates. We will be coming up with more such videos. Cheers!
Hello team,
I have a doubt in this that we took almost 100 random cases and we got accuracy 94% and what if we run it again and chances that accuracy go down because it may test different cases again
Yes, there could be variation in accuracy every time you train the model
Dear Simplilearn,
nice video about Decision Tree algorithm.
can you please share the data and code ?
Hi, thanks for the kind comment. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
invinciblereddaiah@gmail.com
Hi, thanks for sending us your email ID. We have sent the requested dataset to your mail ID. Like and share our video with your peers and also do not forget to subscribe to our channel for not missing video updates. We will be coming up with more such videos. Cheers!
@@SimplilearnOfficial May I have data_2.csv file and code, sir? My email: akhlak.ashik@gmail.com
Hi Akhlak, thanks for sending us your email ID. We have sent the requested dataset to your mail ID. Like and share our video with your peers and also do not forget to subscribe to our channel for not missing video updates. We will be coming up with more such videos. Cheers!
What is the time complexity of the loan use case problem?
Hello,
The tutorial is really well explained, but could You please provide a data set of this training and other trainings?
Thanks a lot!
Hello Edvinas, thanks for appreciating our work. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
@@SimplilearnOfficial balandis.edvinas@ gmail.com
Hi Edvinas, thanks for sharing your email ID. We have sent the requested dataset to your mail ID. Like and share our video with your peers and also do not forget to subscribe to our channel for not missing video updates. We will be coming up with more such videos. Cheers!
Great video!! Could you please share the dataset and python code of it ?
Hello Deepak, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
Hi I would like to know if you could share the references that you use to make the video. I am working on a paper about decision tree and I would like to know about simple and good references about the subject.
Hi Gabriel, you can check out geeks for geeks and Medium.
How could I use string data for this?
Wait... so what is the root node, and when did you specify which variable to take into account next? Isn't that the point of a decision tree?
Your very first split would be the root node. Of course, with an algorithm, this is figured out internally. you can fine tune your model for better accuracy.
Very simple to understand. Please can I get the data set used for the example? Thanks
Hello Collins, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
15:10
from sklearn.model_selection import train_test_split
Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : )
Awesome video! Could you share the data set please?
Hello Muhammad, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
@@SimplilearnOfficial aksontv74@gmail.com ! I have also mentioned my email on your other videos but not receive any dataset yet please change your policy of giving datasets only on demand. You may know well dataset is required to practice and if someone watch your video and comment for dataset and your reply may be late thats happening then we have to move on other channels which we don't want because you are awesome in teaching but please its my request to do something better for datasets. Is it possible for you to provide dataset in description?
Nice Tutorial, Can i get the data set?. which will be very helpful.
hari.sompalli0205@gmail.com Please share thedataset to this mail id. Thanks in Advance.
Hi Hari, thanks for checking out our tutorial. We hope we have helped. We have also sent the requested dataset to your mail ID. Do support us by subscribing to the channel and giving a thumbs up to our videos. Thanks.
How do we decide the opt numbers for the parameters max_depth
and min_samples_leaf?
We just try out a few numbers that are generally used and increase it until we notice that the model's accuracy seems to detoriate.
Hi , Great Video. Can we have the Data set you used?
Hello Leila, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
Could you put up tutorials on angoss or tableau ??
We have passed on your request to the team and they will be soon coming up with Tableau tutorial videos. Do subscribe to the channel and press the BELL icon for never missing another update. Cheers!
Simplilearn : I have subscribed over a month ago. Would request you to put up angoss n tableau videos since it is gaining popularity in financial domain and its utilisation has shot up tremendously. Cheers
Sure, we have informed the relevant team. Meanwhile, you can go through our Tableau playlist videos: ua-cam.com/play/PLEiEAq2VkUUJEvrsey26P-Bj4Vk6BLBVC.html
I am working on one with Angoss KnowledfeSEEKER
Hi I like your lecture. Please can you supply the dataset used in the video. Thank you.
Hello Dario, thanks for appreciating our work. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
In original dataset we have 3 giraffe but while show casing the spilts the 1 goes missing, we it gone might be in jungle
Hi Ajay, thanks for watching our tutorial. Regarding your query, the answer is "Yes", the giraffe that got away. Cheers!
It was reluctant to classified :), also if we give a white tiger where will that fit?
Why do we need to consider House Number field for Classification ?
Hi Chaitanya, thanks for watching our video. House number field is a continuous variable and not a categorical, it cannot be used for classification. Hope you are clarified now. Thanks.
Well, Explained Sir! can you please email me the dataset to implement, thank you!
Hello Sam, thanks for appreciating our work. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
Hi, thank you for the really helpful video. Can I please get a copy of the dataset used for the tutorial?
Hello Ratnadeep, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
@@SimplilearnOfficial Thank you for the response. I am happy to provide my email id to you but I don't want to share it on a public forum. Is it possible to do that?
Hi Ratnadeep, you can share your email ID with no hesitation because no comments get published without our approval.
Thanks a lot for your explanations, can you send me the dataset so I can use to try it out?
Hello, thanks for viewing our tutorial. You can find your requested dataset in the video description. Hope that helps.
Hi, would it be possible to have the dataset for the decision tree tutorial please.
Hello, thanks for viewing our tutorial. You can find your requested dataset in the video description. Hope that helps.
Thank you :)
You're welcome!
Hey may I get the dataset? The video is informative and easy to understand!
Hi Izhar, thanks for watching our video. It would be great if you could share your email Id with us so that we can share the requested data files. If you want your email ID should be hidden from others, we can do that as well. Thanks.
hi.. can someone clarify on 1:5 in balance_data.values? i don't get it.. does 1:5 means you go through first column to fifth column? and in Y, the 0 is the result column?
In Python, 1:5 goes from 1 to 4. It subtracts 1 from the final index.
And yes, 0 is the desired result - whether or not to give the loan(yes/no)
That's right. Thanks.
You are right ! Thanks.
how to apply fuzzy c4.5 on same data-set?
very very well explained, but it goes incomplete without decision tree graph to be explained with criteria for the loan_example
Thanks Anshuman for pointing that out. We will definitely pass this to the concerned team. Thanks.
Thanku
Your tutorials are very good but why don,t you provide a link to the dataset
Sorry, Kushagra. We don't have the external source for the dataset. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly.
Entropy formula was wrong at 13:05. It should have a minus sign to get a positive value. It is either Entropy = -sum(p log p) Or Entropy = sum( p log 1/p )
Thanks for pointing out! We will definitely share the issue with our team.
The formula for entropy is -sum (p log p)
Thanks for your input!
In Path you named as one folder as Marketing Video's . Overall Lecture is pretty good but I want to know about Gemini Index which is not mentioned in whole video
Hey Sanjeev, thank you for watching our video and for the honest feedback. We will definitely look into this. Do subscribe, like and share to stay connected with us. Cheers :)
@@SimplilearnOfficial I am correcting it's Gini Index
Sir g ..Caption include kr dijiye in all video of .. Analytics tools .. Plzzz
Sorry about that. We will try to implement that in future videos.
hey sir! accuracy is of training or testing?
accuracy tells about our model prediction(confidence) after training with train data
you will get accuracy by using x_tst data,
Hi Harsha, thanks for your valuable input!
Hi Disha, accuracy mainly focuses on testing.
Could you please provide the data set that you used in the video
Hi Sree Latha, I am glad that you found our video helpful. It would be easy for us to send the dataset if you can provide your email id. If you want your email ID should not be displayed in the comment section, we can do that as well. Hope that helps.
Good work guys
Could you please provide me the dataset?
Hello, thanks for viewing our tutorial. You can find your requested dataset in the video description. Hope that helps.
How to visualize decision tree in this case? actually I still didn't get how to read the result..
Hi Andad, you can visualize using this code:
"from sklearn.externals.six import StringIO
from IPython.display import Image
from sklearn.tree import export_graphviz
import pydotplus
dot_data = StringIO()
export_graphviz(dtree, out_file=dot_data,
filled=True, rounded=True,
special_characters=True)
graph = pydotplus.graph_from_dot_data(dot_data.getvalue())
Image(graph.create_png())"
Thank you for this useful video ,
Can you send to me the database , that you used please
Hello, thanks for viewing our tutorial. You can find your requested dataset in the video description. Hope that helps.
Hi , This is an excellent video. could you please send me the data sets.
Hello Pinaki, thanks for viewing our tutorial and we hope it is helpful. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly.
i cant understand how the separation and splitting is working in the programming. Can someone explain it to me.
Hi Abhishek, Entropy is calculated for the relationship between every individual independent variable and the dependent variable. The one that gives the lowest entropy will be your first split. This procedure continues until your "yes" and "no" classes (leaf nodes) have been separated. Hope that helps.
What happens if a pure subset is not possible from the given data?
Sajan, The goal of Decision tree algorithm is to result in a subset with less impurity. So when we apply this algorithm, it will give pure subset itself. But if we have not achieved the same, then we need to further split a node to get the pure subset. Hope this answers your query. Thanks :)
Would you please send me the data set?
Hi Hamid, thanks for checking out our tutorial. We have sent the requested dataset to your mail ID. Do subscribe, like and share to stay connected with us. Cheers :)
Thanks
Welcome!
how can we visualize decision tree?
Hi Shahed, you can visualize using this code:
"from sklearn.externals.six import StringIO
from IPython.display import Image
from sklearn.tree import export_graphviz
import pydotplus
dot_data = StringIO()
export_graphviz(dtree, out_file=dot_data,
filled=True, rounded=True,
special_characters=True)
graph = pydotplus.graph_from_dot_data(dot_data.getvalue())
Image(graph.create_png())"
Hi, anyone knows from where can i get the database used here ?, please! nice tut
Hello Javier, thanks for viewing our tutorial and we hope it is helpful. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly.
Simplilearn where can I leave my email? Here or in one of yours social media’s? Thanks in advance 🙌🏽
Hi Javier, you can mention your email ID in the comment section only. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
Hello Simplilearn, is it possible to share the notebook possibly on github so that we can have dataset from there itself and also the code
Hi Rajnish, it will not be possible to share the code, dataset on github. However, you can share your email id and we will send the dataset right away! If you wish your email id not to be seen in the comments, we can do that as well.
Hope that helps!
Simplilearn.ok please send it to rajnishrajput12@gmail.com
Hi Rajnish, I have shared the dataset with you over mail. Let me know in case you find any difficulty in implementing the same in Machine Learning. Cheers
I would like to download Dataset 2. Please advise how to do so.
Hello, thanks for viewing our tutorial. You can find your requested dataset in the video description. Hope that helps.
Hey! Nice Vid, can I have the datasheet so I can practice? Best regards
Hello, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
Ericchiquitog@gmail.com, please thank you!
Thanks for sharing your email ID. We have sent the requested dataset to your mail ID. Also, Subscribe to our channel by clicking on the bell icon for never missing another update. Cheers!
12:15 thankyou sir i was about to quit but your words stopped me😂
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You shoud have dropped 'House Number' from the data frame as it won't effect whether someone will pay the loan or not...
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hi simlilearn ,do you have any github account to acceses example codes and data sets for practising, if in case yes,pls drop a github link pls....
Hi Maltesh, we can send over the dataset to you if you can share your email id. We can keep it hidden too, if you want. Thanks for watching!
Thanks for the lecture. Can you please send me the code and sample dataset for practice
Hello Nigil, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
@@SimplilearnOfficial sorry nigilke9416@gmail.com
Hello Nigil, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
sir , can you email me the dataset ...btw ..the video was very informative ..thnks
Hi Rishabh, we are glad that you found our content informative. We have provided the dataset to your email ID. Do subscribe to our channel to stay posted on upcoming tutorials. Cheers!
it could be very useful tutorial in machine learning......
can you provide me the dataset file attachment?
Hello, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we can send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that too. Hope that helps.
Where can i download the dataset from?
Hello Aakriti, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
Video is really nice but how can I get this dataset?
Hello Vivek, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
can i get the data set for further study ?
Hello Siddharth, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.