Decision Tree In Machine Learning | Decision Tree Algorithm In Python |Machine Learning |Simplilearn

🔥AI Engineer Specialist: l.linklyhq.com/l/1yhn3
🔥Professional Certificate Course In AI And Machine Learning by IIT Kanpur (India Only): www.simplilearn.com/iitk-prof...
🔥AI & Machine Learning Bootcamp(US Only): www.simplilearn.com/ai-machin...
🔥 Purdue Post Graduate Program In AI And Machine Learning: www.simplilearn.com/pgp-ai-ma...
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 )
Dataset Link - drive.google.com/drive/folder...
✅Subscribe to our Channel to learn more about the top Technologies: bit.ly/2VT4WtH
⏩ Check out the Machine Learning tutorial videos: bit.ly/3fFR4f4
Machine Learning Articles: www.simplilearn.com/what-is-a...
👉Learn more at: bit.ly/3fouyY0
#DecisionTreeMachineLearning #DecisionTree #DecisionTreeAlgorithm #DecisionTreeAlgorithmInMachineLearning #DecisionTreePython #DecisionTrees #DecisionTreeExample #MachineLearningAlgorithms #MachineLearningTutorial #Simplilearn
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.
➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…
👉 Learn More At:
👉Learn More at: www.simplilearn.com/pgp-data-...
🔥 Enroll for FREE Machine Learning Course & Get your Completion Certificate: www.simplilearn.com/learn-mac...
🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - [phone]

[@SimplilearnOfficial]

🔥Professional Certificate Course In AI And Machine Learning by IIT Kanpur (India Only): www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?AugustTubebuddyExpPCPAIandML&Comments& 🔥AI Engineer Masters Program (Discount Code - YTBE15): www.simplilearn.com/masters-in-artificial-intelligence?SCE-AIMasters&Comments& 🔥AI & Machine Learning Bootcamp(US Only): www.simplilearn.com/ai-machine-learning-bootcamp?MachineLearning-RmajweUFKvM&Comments& 🔥 Purdue Post Graduate Program In AI And Machine Learning: www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?MachineLearning-RmajweUFKvM&Comments&

[@SimplilearnOfficial]

We hope this video was useful. The link for the dataset used in the video is provided in the description. Thanks!

[@discerningacumen]

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.

[@rajamoorthy1969]

Excellent tutorial on Decision Tree Classifier. Thanks a ton. It was awesome.

[@lihang7408]

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

[@SimplilearnOfficial]

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 :)

[@albinchacko8822]

This tutorial was precise and clear. I loved it. Thank you.

[@SimplilearnOfficial]

Glad it was helpful!

[@hamzawi2752]

Let me say thank you so much for this huge valuable work. It is so easy, you are a professional teacher.

[@SimplilearnOfficial]

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 :)

[@bijoyabakali4822]

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?

[@rzipper1716]

Nicely done ! You have a like and a new subscriber.

[@SimplilearnOfficial]

Woohoo! We are glad to hear it and we welcome you to our community! Do check out our other videos and stay tuned!

[@DJSHIM12]

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.

[@ariap9697]

Just Woooow,the way you teach , simple and perfect!

[@SimplilearnOfficial]

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!

[@Aaziz96]

Helped me so much for my machine learning project1!!11 Thank you so much!

[@SimplilearnOfficial]

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 :)

[@johnread3418]

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

[@Basketstyler2011]

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??

[@akanekawahara1805]

He calculated them based on log10, would make no difference as long as in the last leafs it becomes 0 with any logarithm base

[@tapasilhazarika4288]

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.

[@tapasilhazarika4288]

Please send the data set to my mail id: [e-mail]

[@SimplilearnOfficial]

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.

[@olashoretijesunimi6039]

Well explained. Enjoyed and got to understand decision trees better. God bless you all!

[@SimplilearnOfficial]

Glad it was helpful!

[@kumarsaurabh7562]

I guess you should add minus sign before the entropy formula.

[@SimplilearnOfficial]

Thanks for watching our video and sharing your thoughts. Do subscribe to our channel and stay tuned for more. Cheers!

[@cinaralima6035]

thank you, really liked how you brake down each step to understand how the code works. Thanks

[@SimplilearnOfficial]

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.

[@jenniferaduwo6635]

Great explanation, simple to understand thank you!!!

[@SimplilearnOfficial]

Greetings! Thank you for your kind words. Spread the word by liking, sharing and subscribing to our channel! Cheers :).

[@csorex2376]

Awesome tutorial. Simple and Clear explanations.

[@SimplilearnOfficial]

Hey Ella, thank you for watching our video. We are glad that you liked our video. Do subscribe and stay connected with us. Cheers :)

[@pphot1]

Thank You! I received all the required data sets.

[@SimplilearnOfficial]

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.

[@sahayaajay7684]

@simplilearn Already you import tree for decision tree classifier. Then why could you import tree again in the last line

[@guhanathanprathish9704]

wow man.. its been a awesome session to learn a decision tree as simple as possible 👏👏👏👌

[@SimplilearnOfficial]

Glad to hear that!

[@guhanathanprathish9704]

kindly share this dataset to this gmail id : [e-mail]

[@SimplilearnOfficial]

Sent!

[@ragurajan7567]

Very great video. Why was the tree function imported but it wasnt used anywhere?

[@khadarbasha2012]

Thanks for your Video tutorial, It could be good enough if you plot and visualize them to make understand better

[@SimplilearnOfficial]

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 :)

[@lakshmisruthi976]

I have a doubt if my model is overfitting for logistic regression and decision tree . How should, i treat them ?

[@FabriceMillion]

Thanks so much for that excellent video, everything is so clear

[@SimplilearnOfficial]

Glad it was helpful! Thank you for watching!

[@aishasiddiquadabeer5143]

Thank you Simplilearn team for the clear explanation. Can you please provide the dataset and the python notebook used in the video?

[@SimplilearnOfficial]

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.

[@fenalishah7545]

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.

[@556west]

Thanks a lot for this video tutorial !!

[@SimplilearnOfficial]

Glad that you chose us on your learning journey Pablo. Cheers!

[@sahayaajay7684]

Thanks for your video.Keep going on

[@SimplilearnOfficial]

Hey Sahaya, thank you for watching our video. We are glad that you liked our video. Do subscribe and stay connected with us. Cheers :)

[@gunjanturkar6150]

Your videos are amazing! Could you please give me the dataset?

[@ayoolaoyekanmi939]

Thank you for this...

[@SimplilearnOfficial]

Hey Ayoola, we're glad you enjoyed this video! If you want to learn more, you can check out this playlist: kzbin.info/www/bejne/q5zdd3xvp8yqnLc And don't forget to like, share and subscribe to our channel! :)

[@shroukezz8878]

can i reduce the compelixity of my decision tree model?

[@Kamalabhrt]

Hello team, it helped me a lot.. How can we do CustomerSegmentation with help of clustering and also Splitting the Train and Test Data.

[@SimplilearnOfficial]

You can check this video out: kzbin.info/www/bejne/b4aXmWmmj9xpnJo

[@taylorhosley7894]

What is the time complexity of the loan use case problem?

[@Hari-xr7ob]

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

[@SimplilearnOfficial]

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!

[@paulchelladurai3880]

How do we decide the opt numbers for the parameters max_depth and min_samples_leaf?

[@SimplilearnOfficial]

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.

[@gabriel1991]

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.

[@SimplilearnOfficial]

Hi Gabriel, you can check out geeks for geeks and Medium.

[@ashishjindal2677]

Your videos are really helpfull. Could you please provide the data set that you used in the video. Thanks :)

[@ashishjindal2677]

[e-mail]

[@SimplilearnOfficial]

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!

[@_StarBreaker666]

How could I use string data for this?

[@muhammadjunaidmajeed1211]

how to apply fuzzy c4.5 on same data-set?

[@HaithamAlshari]

This video is very good & helps me in understanding the concept better. Can you send me the csv file.

[@SimplilearnOfficial]

Hi Haitham, please leave your email ID in the comment section below. We will send the dataset directly to your inbox. Thanks!

[@krishnagokulwala4118]

Thanku

[@chaitanyakumarmadala9299]

Why do we need to consider House Number field for Classification ?

[@SimplilearnOfficial]

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.

[@mazdaksorosh3568]

@ 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.

[@SimplilearnOfficial]

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!

[@mazdaksorosh3568]

Simplilearn it is clear for me. Your reply is much appreciated. Thanks!

[@SimplilearnOfficial]

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!

[@manasacharya8944]

Hey! Great lesson Would be great if you'd share the data set too!!

[@SimplilearnOfficial]

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.

[@nishant6309]

@@SimplilearnOfficial [e-mail]

[@partialtransmission5815]

Thanks for the video. The big-game hunter/poacher example can be replaced.

[@SimplilearnOfficial]

Thanks for the suggetion!

[@lagatrupo2951]

Very clear tutorial.Can I please get a copy of the dataset used for the tutorial?

[@SimplilearnOfficial]

Hello, thanks for viewing our tutorial. You can find your requested dataset in the video description. Hope that helps.

[@chhabiacharya307]

Thank you :)

[@SimplilearnOfficial]

You're welcome!

[@collinsudanor4239]

Very simple to understand. Please can I get the data set used for the example? Thanks

[@SimplilearnOfficial]

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.

[@kabuki-kai1900]

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?

[@taritroghoshal8232]

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.

[@SimplilearnOfficial]

Hi Taritro, thanks for your input! Cheers!

[@SimplilearnOfficial]

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.

[@gautam4941]

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.

[@SimplilearnOfficial]

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.

[@kudeepak1998]

Great video!! Could you please share the dataset and python code of it ?

[@SimplilearnOfficial]

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.

[@raja.57]

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

[@SimplilearnOfficial]

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!

[@dariodisotto5817]

Hi I like your lecture. Please can you supply the dataset used in the video. Thank you.

[@SimplilearnOfficial]

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.

[@vman9630]

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?

[@SimplilearnOfficial]

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.

[@gulafridi2440]

Hi, would it be possible to have the dataset for the decision tree tutorial please.

[@SimplilearnOfficial]

Hello, thanks for viewing our tutorial. You can find your requested dataset in the video description. Hope that helps.

[@midhileshmomidi2434]

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

[@SimplilearnOfficial]

Yes, there could be variation in accuracy every time you train the model

[@yuqili2588]

Thanks a lot for your explanations, can you send me the dataset so I can use to try it out?

[@SimplilearnOfficial]

Hello, thanks for viewing our tutorial. You can find your requested dataset in the video description. Hope that helps.

[@sreelatha9560]

Could you please provide the data set that you used in the video

[@SimplilearnOfficial]

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.

[@jasnden]

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?

[@being_sharan]

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)

[@SimplilearnOfficial]

That's right. Thanks.

[@SimplilearnOfficial]

You are right ! Thanks.

[@samgordonson2941]

Well, Explained Sir! can you please email me the dataset to implement, thank you!

[@SimplilearnOfficial]

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.

[@leilatalebpour55]

Hi , Great Video. Can we have the Data set you used?

[@SimplilearnOfficial]

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.

[@20RODENT]

Hi, thank you for the really helpful video. Can I please get a copy of the dataset used for the tutorial?

[@SimplilearnOfficial]

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.

[@20RODENT]

@@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?

[@SimplilearnOfficial]

Hi Ratnadeep, you can share your email ID with no hesitation because no comments get published without our approval.

[@ssabhidubey10]

i cant understand how the separation and splitting is working in the programming. Can someone explain it to me.

[@SimplilearnOfficial]

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.

[@edgatti4367]

Hello, The tutorial is really well explained, but could You please provide a data set of this training and other trainings? Thanks a lot!

[@SimplilearnOfficial]

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.

[@edgatti4367]

​@@SimplilearnOfficial balandis.edvinas@ gmail.com

[@SimplilearnOfficial]

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!

[@izharmehar]

Hey may I get the dataset? The video is informative and easy to understand!

[@SimplilearnOfficial]

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.

[@jjmondal]

15:10 from sklearn.model_selection import train_test_split

[@SimplilearnOfficial]

Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : )

[@aksontv]

Awesome video! Could you share the data set please?

[@SimplilearnOfficial]

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.

[@aksontv]

@@SimplilearnOfficial [e-mail] ! 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?

[@shaheduzzamanshahed3474]

how can we visualize decision tree?

[@SimplilearnOfficial]

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())"

[@gulshank1987]

Could you put up tutorials on angoss or tableau ??

[@SimplilearnOfficial]

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!

[@gulshank1987]

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

[@SimplilearnOfficial]

Sure, we have informed the relevant team. Meanwhile, you can go through our Tableau playlist videos: kzbin.info/aero/PLEiEAq2VkUUJEvrsey26P-Bj4Vk6BLBVC

[@giannipischedda2354]

I am working on one with Angoss KnowledfeSEEKER

[@sathikhatun5313]

Thanks

[@SimplilearnOfficial]

Welcome!

[@andadajizsalam3]

How to visualize decision tree in this case? actually I still didn't get how to read the result..

[@SimplilearnOfficial]

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())"

[@reddaiahbn9154]

Dear Simplilearn, nice video about Decision Tree algorithm. can you please share the data and code ?

[@SimplilearnOfficial]

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.

[@reddaiahbn9154]

[e-mail]

[@SimplilearnOfficial]

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!

[@dorponthemirror6981]

@@SimplilearnOfficial May I have data_2.csv file and code, sir? My email: [e-mail]

[@SimplilearnOfficial]

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!

[@haribabusompalli4203]

Nice Tutorial, Can i get the data set?. which will be very helpful.

[@haribabusompalli4203]

[e-mail] Please share thedataset to this mail id. Thanks in Advance.

[@SimplilearnOfficial]

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.

[@AjaySharma-pg9cp]

In original dataset we have 3 giraffe but while show casing the spilts the 1 goes missing, we it gone might be in jungle

[@SimplilearnOfficial]

Hi Ajay, thanks for watching our tutorial. Regarding your query, the answer is "Yes", the giraffe that got away. Cheers!

[@UdayKumar-xq1ve]

It was reluctant to classified :), also if we give a white tiger where will that fit?

[@AnshumanDVD]

very very well explained, but it goes incomplete without decision tree graph to be explained with criteria for the loan_example

[@SimplilearnOfficial]

Thanks Anshuman for pointing that out. We will definitely pass this to the concerned team. Thanks.

[@kushagramishra2648]

Your tutorials are very good but why don,t you provide a link to the dataset

[@SimplilearnOfficial]

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.

[@charlescole6373]

I would like to download Dataset 2. Please advise how to do so.

[@SimplilearnOfficial]

Hello, thanks for viewing our tutorial. You can find your requested dataset in the video description. Hope that helps.

[@descendantsoftheheroes_660]

Sir g ..Caption include kr dijiye in all video of .. Analytics tools .. Plzzz

[@SimplilearnOfficial]

Sorry about that. We will try to implement that in future videos.

[@Ali-1A295]

Thank you for this useful video , Can you send to me the database , that you used please

[@SimplilearnOfficial]

Hello, thanks for viewing our tutorial. You can find your requested dataset in the video description. Hope that helps.

[@SAAZANRAI]

What happens if a pure subset is not possible from the given data?

[@SimplilearnOfficial]

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 :)

[@hamidrezanabati]

Would you please send me the data set?

[@SimplilearnOfficial]

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 :)

[@pinakipatra101]

Hi , This is an excellent video. could you please send me the data sets.

[@SimplilearnOfficial]

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.

[@malteshkumarmarvel2414]

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....

[@SimplilearnOfficial]

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!

[@aakritisingla3235]

Where can i download the dataset from?

[@SimplilearnOfficial]

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.

[@dishamishra4414]

hey sir! accuracy is of training or testing?

[@harshassp9144]

accuracy tells about our model prediction(confidence) after training with train data you will get accuracy by using x_tst data,

[@SimplilearnOfficial]

Hi Harsha, thanks for your valuable input!

[@SimplilearnOfficial]

Hi Disha, accuracy mainly focuses on testing.

[@madhuripolimetla7224]

Can you please share the dataset?

[@SimplilearnOfficial]

Hello Madhuri, 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.

[@StimulatedGamer]

can i get the data set for further study ?

[@SimplilearnOfficial]

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.

[@rajnishrajput]

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

[@SimplilearnOfficial]

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!

[@rajnishrajput]

Simplilearn.ok please send it to [e-mail]

[@SimplilearnOfficial]

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

[@sego2502]

Good work guys Could you please provide me the dataset?

[@SimplilearnOfficial]

Hello, thanks for viewing our tutorial. You can find your requested dataset in the video description. Hope that helps.

[@ADESHKUMAR-yz2el]

12:15 thankyou sir i was about to quit but your words stopped me😂

[@SimplilearnOfficial]

Haha! We hope you found our video helpful. For more machine learning videos, check out our playlist: kzbin.info/www/bejne/q5zdd3xvp8yqnLc

[@sanjeevdutt5867]

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

[@SimplilearnOfficial]

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 :)

[@sanjeevdutt5867]

@@SimplilearnOfficial I am correcting it's Gini Index

[@tahrin.choudhury]

Can you provide the dataset? I need to practice.

[@SimplilearnOfficial]

Hello Tahrin, 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.

[@chandanasree1808]

Like your entire tutorial for Data science! I want to try this program, please send me the data set related to this video.

[@chandanasree1808]

[e-mail]

[@level02up44]

it could be very useful tutorial in machine learning...... can you provide me the dataset file attachment?

[@SimplilearnOfficial]

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.

[@javierr5845]

Hi, anyone knows from where can i get the database used here ?, please! nice tut

[@SimplilearnOfficial]

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.

[@javierr5845]

Simplilearn where can I leave my email? Here or in one of yours social media’s? Thanks in advance 🙌🏽

[@SimplilearnOfficial]

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.

[@GwendolynYang]

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 )

[@SimplilearnOfficial]

Thanks for pointing out! We will definitely share the issue with our team.

[@kahkashankanwal]

The formula for entropy is -sum (p log p)

[@SimplilearnOfficial]

Thanks for your input!

[@pavanayadav6814]

can you please share the csv...

[@SimplilearnOfficial]

Hello, thanks for viewing our tutorial. You can find your requested dataset in the video description. Hope that helps.

[@vivek9917333300]

Video is really nice but how can I get this dataset?

[@SimplilearnOfficial]

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.