"🔥Caltech Post Graduate Program In AI And Machine Learning - www.simplilearn.com/artificial-intelligence-masters-program-training-course?G7fPB4OHkys&Comments&RUclips 🔥IITK - Professional Certificate Course in Generative AI and Machine Learning (India Only) - www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?G7fPB4OHkys&Comments&RUclips 🔥Purdue - Post Graduate Program in AI and Machine Learning - www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?G7fPB4OHkys&Comments&RUclips 🔥IITG - Professional Certificate Program in Generative AI and Machine Learning (India Only) - www.simplilearn.com/iitg-generative-ai-machine-learning-program?G7fPB4OHkys&Comments&RUclips 🔥Caltech - AI & Machine Learning Bootcamp (US Only) - www.simplilearn.com/ai-machine-learning-bootcamp?G7fPB4OHkys&Comments&RUclips"
In the supervised learning with labeled data input, it means the model will only know how to predict which fruit it is? (based on the fruit example) - If you give it a vegetable it will fail? and thus when it isn't really learning until you update your model again to tell it these are vegetables. Is that correct?
This is partly correct. In reality, based on the data an algorithm trains itself to predict both fruits and vegetables. While testing, the model decides with the input was of a fruit or a vegetable.
Thank you simplylearn for explaining Machine learning in the most precise and ambient manner. I have been wanting to learn machine learning since a long back and today i scouted for your video. this seriously helped me learn The basics of machine Learning. Once again Thank you so much
Great that you liked the tutorial, Shripati! If you agree that Machine Learning is a good career move, please refer to this, www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course. Also, Subscribe to our channel by clicking on the bell icon for never missing another update. Cheers !
Hey, this video really made me catch my understanding of what is machine learning is... I referred to ton's of different video's I am able to understand kind of, but not meaningfully, but this video gave me the complete meaning of machine learning to understand deep practically.
WooHoo! We are so happy you love our videos. Please do keep checking back in. Do show your love by subscribing our channel using this link: ruclips.net/user/Simplilearn and don't forget to hit the like button as well. Cheers!
Brilliant presenatation. Never seen such an incredible clarity . Is it possible to get a copy your presentation slides. Many thanks. Its a briilaint video and I want to preset it to my staff .
Machine Learning is the Future and yours can begin today. Comment below with you email to get our latest Machine Learning Career Guide. Let your journey begin. Do you have any questions on this topic? Please share your feedback in the comment section below and we'll have our experts answer it for you. Thanks for watching the video. Cheers!
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!
Hello, how are you? From my point of view the video is very good and quite didactic. However, if you want to reach an even wider audience, considering that in most developing countries education is precarious and a significant part of the potential audience does not speak English, I suggest: 1. To associate the subtitles, even if in English, as this would allow those who do not master the language to provide the translation of the entire text or parts of them not well understood precisely by the lack of mastery; 2. That the narrator speaks in a more leisurely way, as this would also benefit the audience that has not yet mastered the language. Thanks for the attention, thanks for the video and I wish all success to the Simplilearn team!
Hey Edurado! Thank You for the candid review and the feedback. Our audiences are from around the globe and our contents open to a larger audience. Those who speak languages other than English, they can click CC icon - Subtitles/Closed Captions at the bottom right side of the video and enjoy watching the content. Do subscribe to our channel by clicking on the 'bell icon' to get notified of our updates.
We are glad you found our video helpful, Dhamodharan. 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 are the data points required for trading? KNN seems to be limited by two data points. X and Y axis and you need to give large data samples? Decision tree requires you rewrite the code altogether? I'm asking this as my signal comes from a 3rd party indicator that runs on mql. But I think linear regression is a more direct computation since data extract is from an indicator from mql.
I must thank SL team for the video . Absolute helpful for a layaman to understand. I have queries regarding the course. let me know how shall I contact
Hi! Somrita, Thank you for sharing the feedback. Please visit Simplilearn Machine Learning course page here, www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course or Call 18001029602 and get your queries answered.
Thanks one more time for the richful tutorial and the explanations provided. I did the exercise consisting to predict the prices of the house from th 'boston housing' dataset. It works as explained in the video. I just have few questions concerning the training, test and prediction. Indeed, what guide the right choice of the train/test_size and random_state values? In my code I changed the test_size value to 0.5 and the random_state to 7, I got a nice prediction for arrays [3] & [5] but not for array[9] for example! And when I compute the mean squared value, I get 33.36. Can such a value be acceptable? Thank you again for all.
Hey Pooja, thank you for watching our video. We will definitely look into your suggestions. Do subscribe and stay tuned for updates on our channel. Cheers :)
Hi, Simplilearn provides online training across the world. We would be happy to help you regarding this. Please visit us at www.simplilearn.com and drop us a query and we will get back to you! Thanks!
I think the level of accuracy was fair enough considering so less data.Accuracy would have increased if we had more data . If we had used corelation between target and independent variable then also the prediction would have been considerably good right?
Hey Sonuschka, we're glad you enjoyed this video! If you want to learn more, you can check out this playlist: ruclips.net/video/ukzFI9rgwfU/видео.html And don't forget to like, share and subscribe to our channel! :)
Thanks for the wonderful feedback, Shazi. We thought you might like other Machine Learning videos as well: ruclips.net/p/PLEiEAq2VkUULYYgj13YHUWmRePqiu8Ddy Happy learning!
Awesome video. I'm studying Data Science, but I didn't get to the part where we learn about Machine Learning. The curiosity made me watch this and it is really clarifying
Hi! Manju, Glad that you liked. Thanks for sharing your requirement. We are soon coming up with more informative videos and will surely keep you posted on the development. Cheers :)
This module will be removed in 0.20 how to solve this error? I love your videos. I have been sharing them with my friends on watsapp. Please make a video on errors that can appear when practising codes.
Hi Balthzar, thanks for checking out our tutorial. This is a warning message where scikit-learn 0.20 will remove cross_validation module and replace them with new modules. You can try from sklearn.model_selection import train_test_split. This won't give any error or warning message. Hope that helps!
Hello Preeti, 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.
This is good stuff, but I'm not good at coding, I was not understanding most of the stuff happening in the coding part. Kindly refer some good material.
Hi Mohammed, thanks for checking out our tutorial. We would advise you to start with Machine learning basics. We have all the basics and intermediate stuff covered in Machine Learning Playlist: ruclips.net/video/7JhjINPwfYQ/видео.html. Kindly check them all and get ahead in Machine learning. Thanks.
Hello Vineeth, 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.
Hi! Ranjeet, Delighted you found this tutorial helpful! Have a look at Simplilearn Artificial Intelligence and Machine Learning course, www.simplilearn.com/ai-and-machine-learning/ Subscribe to our channel and click on the Bell icon for never missing another update.
Hi Dharmendra, thanks for checking out our tutorial. It would be great if you can provide your email ID so that we can send the dataset immediately. Thanks.
Hi Vani, thanks for watching our video. You can implement this code on Spyder, PyCharm or by installing Python IDLE. Here is the downlaod link www.python.org/downloads/. Hope that helps!
Hi Ranjini, The dataset is pre-loaded in the scikit learn library. You just need to import it and convert that to a data frame. To divide the data into train and test, use train_test_split() function.
Hi, The Google search started and still the main processing is Not done by our standard Machine Learning process. Moreover in Uber, the things like last pick up our drop points suggested or having history of drops and pickup etc are not connected/related to Machine Learning.
Okay sir thanks. I am using images of various examples in my ppt and course for ML and Neural network. I will mention your logo along with thanks. Thanks .
"🔥Caltech Post Graduate Program In AI And Machine Learning - www.simplilearn.com/artificial-intelligence-masters-program-training-course?G7fPB4OHkys&Comments&RUclips
🔥IITK - Professional Certificate Course in Generative AI and Machine Learning (India Only) - www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?G7fPB4OHkys&Comments&RUclips
🔥Purdue - Post Graduate Program in AI and Machine Learning - www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?G7fPB4OHkys&Comments&RUclips
🔥IITG - Professional Certificate Program in Generative AI and Machine Learning (India Only) - www.simplilearn.com/iitg-generative-ai-machine-learning-program?G7fPB4OHkys&Comments&RUclips
🔥Caltech - AI & Machine Learning Bootcamp (US Only) - www.simplilearn.com/ai-machine-learning-bootcamp?G7fPB4OHkys&Comments&RUclips"
In the supervised learning with labeled data input, it means the model will only know how to predict which fruit it is? (based on the fruit example) - If you give it a vegetable it will fail? and thus when it isn't really learning until you update your model again to tell it these are vegetables. Is that correct?
This is partly correct. In reality, based on the data an algorithm trains itself to predict both fruits and vegetables. While testing, the model decides with the input was of a fruit or a vegetable.
Wow, I was wanting this type of video only, in which I could revise all the basics of Machine Learning!
Thank you so much for uploading this
Glad you enjoyed our video! We have a ton more videos like this on our channel. We hope you will join our community!
Thank you simplylearn for explaining Machine learning in the most precise and ambient manner. I have been wanting to learn machine learning since a long back and today i scouted for your video. this seriously helped me learn The basics of machine Learning. Once again Thank you so much
Great that you liked the tutorial, Shripati! If you agree that Machine Learning is a good career move, please refer to this, www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course. Also, Subscribe to our channel by clicking on the bell icon for never missing another update. Cheers !
Hey, this video really made me catch my understanding of what is machine learning is... I referred to ton's of different video's I am able to understand kind of, but not meaningfully, but this video gave me the complete meaning of machine learning to understand deep practically.
WooHoo! We are so happy you love our videos. Please do keep checking back in. Do show your love by subscribing our channel using this link: ruclips.net/user/Simplilearn and don't forget to hit the like button as well. Cheers!
Brilliant presenatation. Never seen such an incredible clarity
. Is it possible to get a copy your presentation slides. Many thanks. Its a briilaint video and I want to preset it to my staff .
Machine Learning is the Future and yours can begin today. Comment below with you email to get our latest Machine Learning Career Guide. Let your journey begin.
Do you have any questions on this topic? Please share your feedback in the comment section below and we'll have our experts answer it for you.
Thanks for watching the video. Cheers!
how clustering is done?
Absolutely awesome ,
Thanks for the video , would be great to see next implementation of any ML algorithm .
Hey Roshan, thank you for watching our video. We are glad that you liked our video. Do subscribe and stay connected with us. Cheers :)
i must say the way you explained this topic , i m impressed thank you . simplilearn is really simple
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!
Great video, this is really helpful
Thank you!!
Glad it was helpful!
Hello, how are you?
From my point of view the video is very good and quite didactic.
However, if you want to reach an even wider audience, considering that in most developing countries education is precarious and a significant part of the potential audience does not speak English, I suggest:
1. To associate the subtitles, even if in English, as this would allow those who do not master the language to provide the translation of the entire text or parts of them not well understood precisely by the lack of mastery;
2. That the narrator speaks in a more leisurely way, as this would also benefit the audience that has not yet mastered the language.
Thanks for the attention, thanks for the video and I wish all success to the Simplilearn team!
Hey Edurado! Thank You for the candid review and the feedback.
Our audiences are from around the globe and our contents open to a larger audience. Those who speak languages other than English, they can click CC icon - Subtitles/Closed Captions at the bottom right side of the video and enjoy watching the content.
Do subscribe to our channel by clicking on the 'bell icon' to get notified of our updates.
Good Video. I could understand which algorithm Ineed to use for our solution. That is explained in this video easily. Super..
We are glad you found our video helpful, Dhamodharan. 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 are the data points required for trading? KNN seems to be limited by two data points. X and Y axis and you need to give large data samples?
Decision tree requires you rewrite the code altogether? I'm asking this as my signal comes from a 3rd party indicator that runs on mql. But I think linear regression is a more direct computation since data extract is from an indicator from mql.
I must thank SL team for the video
. Absolute helpful for a layaman to understand. I have queries regarding the course. let me know how shall I contact
Hi! Somrita, Thank you for sharing the feedback. Please visit Simplilearn Machine Learning course page here,
www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course or Call 18001029602 and get your queries answered.
Best explanation..👍
Hope you enjoyed our video! We have a ton more videos like this on our channel. We hope you will join our community!
@@SimplilearnOfficial ya sure..how can I get join process in your community?
if the error value, in the end, is 25 then what this means how much the house cost?
Thanks one more time for the richful tutorial and the explanations provided.
I did the exercise consisting to predict the prices of the house from th 'boston housing' dataset. It works as explained in the video. I just have few questions concerning the training, test and prediction. Indeed, what guide the right choice of the train/test_size and random_state values? In my code I changed the test_size value to 0.5 and the random_state to 7, I got a nice prediction for arrays [3] & [5] but not for array[9] for example! And when I compute the mean squared value, I get 33.36. Can such a value be acceptable? Thank you again for all.
Nice tutorial.. Kindly upload more related to implementation demo of supervised and unsupervised learning.
Hey Pooja, thank you for watching our video. We will definitely look into your suggestions. Do subscribe and stay tuned for updates on our channel. Cheers :)
Thanks U Sir 😊
Most welcome
Thank you very much simplilearn team for providing useful video
I liked your video very much............
Greetings! Thank you for your kind words. We are glad to have helped! Spread the word by liking, sharing and subscribing to our channel! Cheers :).
Most welcome.
Simply excellent tutorial
Thanks!
But what happen when someone put wrong input in case of feedback for reinforcement learning?
Hi, Simplilearn provides online training across the world. We would be happy to help you regarding this. Please visit us at www.simplilearn.com and drop us a query and we will get back to you! Thanks!
Excellent work
Thank you! Cheers!
I think the level of accuracy was fair enough considering so less data.Accuracy would have increased if we had more data . If we had used corelation between target and independent variable then also the prediction would have been considerably good right?
Thank you so much! This was very informative, and very well explained. :)
Hey Sonuschka, we're glad you enjoyed this video! If you want to learn more, you can check out this playlist: ruclips.net/video/ukzFI9rgwfU/видео.html
And don't forget to like, share and subscribe to our channel! :)
Thank you so much, sir, I understood very well, Good teaching method.
Thanks for the wonderful feedback, Shazi. We thought you might like other Machine Learning videos as well: ruclips.net/p/PLEiEAq2VkUULYYgj13YHUWmRePqiu8Ddy
Happy learning!
It's a very good way for teaching by
Using some graphs and text
shazi Shaziya. What are you doing now a days regarding programming
Very well explained
We are so grateful for your kind words. Also, subscribe to our channel and stay tuned for more videos. Cheers!
good information sir ..
its very useful to me
Hey Vasanth, thank you for watching our video. We are glad that you liked our video. Do subscribe and stay connected with us. Cheers :)
GREAT, Thanks SL team
We are so grateful for your kind words. Also, subscribe to our channel and stay tuned for more videos. Cheers!
Wow! very well put
Hello, thank you for watching our video. We are glad that you liked our video. Do subscribe and stay connected with us. Cheers :)
Thanks for share 💛
You are welcome!
Awesome video. I'm studying Data Science, but I didn't get to the part where we learn about Machine Learning. The curiosity made me watch this and it is really clarifying
When I change random_state to 2..The error mean drops to 18. What does it signify?
Thanks SL team.. very informative video. Can you make some video of the Internet of things and how machine learning used in the Internet of things
Hi! Manju, Glad that you liked. Thanks for sharing your requirement. We are soon coming up with more informative videos and will surely keep you posted on the development. Cheers :)
This module will be removed in 0.20 how to solve this error? I love your videos. I have been sharing them with my friends on watsapp. Please make a video on errors that can appear when practising codes.
Hi Balthzar, thanks for checking out our tutorial. This is a warning message where scikit-learn 0.20 will remove cross_validation module and replace them with new modules. You can try from sklearn.model_selection import train_test_split. This won't give any error or warning message. Hope that helps!
Great content,could you please provide access to the data set
Hello Preeti, 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.
This is good stuff, but I'm not good at coding, I was not understanding most of the stuff happening in the coding part. Kindly refer some good material.
Hi Mohammed, thanks for checking out our tutorial. We would advise you to start with Machine learning basics.
We have all the basics and intermediate stuff covered in Machine Learning Playlist: ruclips.net/video/7JhjINPwfYQ/видео.html. Kindly check them all and get ahead in Machine learning. Thanks.
Great video thank you ! One question : In the Mail filtering first example of the Naive Bayes theorem, what event does A refers to ? Thanks.
Weather conditions
Hi. Very nice tutotial. Can you please upload the data set or ipynb files. Please...........
Hello Vineeth, 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.
In this video,its said that computers doesn't usemachine learning.. Then what is Cortana?
Vedio is much informative and to learn ml
Hi! Ranjeet, Delighted you found this tutorial helpful! Have a look at Simplilearn Artificial Intelligence and Machine Learning course, www.simplilearn.com/ai-and-machine-learning/
Subscribe to our channel and click on the Bell icon for never missing another update.
Nice 🌹🌲💐🌲🌹💐🌲🌹 video
Thanks 🤗
Very nice tutorial. Can you provide datasets?
Hi Dharmendra, thanks for checking out our tutorial. It would be great if you can provide your email ID so that we can send the dataset immediately. Thanks.
Dharmendra ....most welcome.
But how should i run this in python IDLE , not in jupyter
Hi Vani, thanks for watching our video. You can implement this code on Spyder, PyCharm or by installing Python IDLE. Here is the downlaod link www.python.org/downloads/. Hope that helps!
hi.the boston dataset which got loaded does not have tuple like data,feture_name,target.so how can i split the data as x and y?
Hi Ranjini,
The dataset is pre-loaded in the scikit learn library. You just need to import it and convert that to a data frame. To divide the data into train and test, use train_test_split() function.
what is random state =4 u used in program?
random state=4 generates random numbers drawn from a variety of probability distributions. Here, it will generate 4 random numbers!
Hi,
The Google search started and still the main processing is Not done by our standard Machine Learning process.
Moreover in Uber, the things like last pick up our drop points suggested or having history of drops and pickup etc are not connected/related to Machine Learning.
Uber uses Machine Learning to enable efficient ride-sharing marketplace, identify suspicious accounts, suggests optimal pickup and dropoff points. Hope this helps!
Dear sir, can I use few of your content in my tutorial with acknowledgement ?
You can use it with our logo and mentioning the credits Thanks.
Okay sir thanks. I am using images of various examples in my ppt and course for ML and Neural network. I will mention your logo along with thanks. Thanks .
You are very welcome!
@@SimplilearnOfficial can i get email as i have to discuss some important point in this connection. Thanks.
good explanation
Hey Prasad, thank you for watching our video. We are glad that you liked our video. Do subscribe and stay connected with us. Cheers :)
nice video 👍
Hi Shubam, We appreciate the kind comment! Enjoy!
i think, JARVIS is on its way to the Reality...