Machine Learning Tutorial Part - 1 | Machine Learning Tutorial For Beginners Part - 1 | Simplilearn

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This Machine Learning tutorial will help you understand why Machine Learning came into the picture, what is Machine Learning, and the types of Machine Learning., Machine Learning algorithms with a detailed explanation on linear regression, decision tree & support vector machine, and at the end you will also see a use case implementation where we classify whether a recipe is of a cupcake or muffin using SVM algorithm.
Dataset Link - drive.google.com/drive/folder...
Machine Learning Tutorial Part - 2: • Machine Learning Tutor...
Below topics are explained in this Machine Learning tutorial:
00:00 - 00:45 Why Machine Learning?
00:45 - 04:52 What is Machine Learning?
04:52 - 11:34 Types of Machine Learning
11:34 - 16:41 Machine Learning Algorithms
16:41 - 25:43 Linear Regression
25:43 - 34:00 Decision Trees
34:00 - 36:02 Support Vector Machine
36:02 - 01:02:40 Use case: Classify whether a recipe is of a cupcake or a muffin using SVM
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#MachineLearning #MachineLearningAlgorithms #Datasciencecourse #DataScience #SimplilearnMachineLearning #MachineLearningCourse #Simplilearn
What is Machine Learning?
Machine learning is a core sub-area of artificial intelligence; it enables computers to get into a mode of self-learning without being explicitly programmed. When exposed to new data, these computer programs learn, grow, change, and develop by themselves.
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[@sambhrantchaubey2196]

branch node should be taken the next largest gain, but you've taken windy the branch node, the gain of Humidity is 0.152, it should be taken as next branch node I guess??

[@YuvaSena1947]

Sir how i have to learn complete course? and what skills required for that?If you have any material kindly send to my mail id([e-mail])

[@SimplilearnOfficial]

Machine learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of machine learning. You can start with this amazing playlist which helped a lot of people: kzbin.info/www/bejne/q5zdd3xvp8yqnLc This playlist will provide you with the solid basic knowledge of Machine learning and it types with examples. It has videos both in R and Python. If you want to go further and get certified in Machine learning, check this out: www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course."

[@AkshayKumar-ms3fu]

plz send the dataset to myemail id [e-mail]

[@SimplilearnOfficial]

Hi Akshay, thanks for watching our video. We have sent the requested dataset to your mail ID. Do subscribe and stay tuned for updates on our channel. Cheers :)

[@user-pi9po1vi9j]

Thanks for sharing! At 19:40 there will be inverse proportionality. That's why the graph is a hyperbola, and not the line with negative coefficient. You can easily deduce it from s = vt. So, t =s/v. Or t = const/v which is obviously not a line.

[@cantcurecancer]

32:30 Why is "Windy" the 1st branch node of "Outlook"? "Humidity" should be the node since it has better information gain as seen from the previous slide.

[@sandeepdayananda9846]

A - Classification B - Deep Learning (Neural Networks) C - Error D - Supervised Learning (Regression, Naive Bayes) I know I am 100% correct! :D

[@SimplilearnOfficial]

Hi Sandeep, thanks for your participation! We will give out the answers to the quiz in Machine Learning Tutorial Part-2 video which is coming soon. Stay tuned!

[@Bena_Gold]

great tutorial ... keep it up ...

[@SimplilearnOfficial]

Hey Isaac, 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:)

[@rameshlanka171]

WOW.....Excellent, truly I can understood a lot of these topics.

[@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!

[@mathstats1]

when you defined the cupcake_or_muffin, and you tried it, it worked. the definition of mine works, but when I try it, it does not work

[@icakad3805]

This is very interesting. I was thinking it was a lot harder, but it's not. It is hard but easier than I thought.

[@SimplilearnOfficial]

Hey, 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 :)

[@baskarkevin1170]

Awesome Simplilearn

[@SimplilearnOfficial]

Hey Baskar, 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:)

[@younesboussouga9085]

thanks for the video, one thing I couldn't understand is what does the zero stands in model.coef[0] also in model.support_vectors_[0]

[@theemillennial]

I made the data set from scratch and it worked just pause the video when he shows the file. Type it in excel and save as CSV, then make sure you upload it to Jupiter notebook. It will work

[@SimplilearnOfficial]

You can mention your email ID to receive the dataset. Thanks.

[@mswlogo1]

For the record at 17:27 c is your Y-intercept and m is your coefficient (or better known as the slope). Set x to 0 and you are left with y = c. At 29:44 it's not Log squared. It's Log Base 2. Log without the subscript is Log Base 10. It's also not Log "root 2".

[@yashwanth9549]

Good content and I am currently attending data science master's program by Simpliilearn and I think I choose the better one

[@SimplilearnOfficial]

Hi Yashwath, thanks for watching our video and for the honest feedback. Do show your love by subscribing our channel using this link: kzbin.info and don't forget to hit the like button as well. Cheers!

[@manojharshavardhan2385]

Yashwath how was your experience

[@pr0l0gix]

nice video for beginner. Keep up the good work

[@SimplilearnOfficial]

Hello, 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 :)

[@theinternetcash]

Can you please explain these concept ? Sigmoid activation function 𝜎(𝑥)=11+𝑒−𝑥 Output (prediction) formula 𝑦̂ =𝜎(𝑤1𝑥1+𝑤2𝑥2+𝑏) Error function 𝐸𝑟𝑟𝑜𝑟(𝑦,𝑦̂ )=−𝑦log(𝑦̂ )−(1−𝑦)log(1−𝑦̂ ) The function that updates the weights

[@BarnabasDavoti]

Good content, bad audio.

[@SimplilearnOfficial]

Thank you so much for bringing this to our attention. We reported this right away to the relevant department.

[@raffaellogalli8366]

It's still bad :p

[@SimplilearnOfficial]

@@raffaellogalli8366 We are sorry about that Raffaello, we will share the feedback with the relevant department

[@BangMaster96]

@@SimplilearnOfficial I don't mind the bad audio, i love that you have provided us free educational content, and that is what matters. Thank You for this wonderful content.

[@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!

[@rashidabdallh2103]

thank you for sending the data

[@SimplilearnOfficial]

You are very welcome!

[@roseb2105]

hey I may be able to google an answer to this but is machine learning different from artificial intelligence that the later someone is telling the computer exactly and specifically what to do were as with machine learning the computer decides on new information based on patterns of old information ( that it has learned)??

[@SimplilearnOfficial]

Machine Learning is a subset of Artificial Intelligence. Machine Learning is one of the approaches to achieve AI. In both the cases, data learns on its own and the machine gives the output without any human intervention. Here is a link to better understand the difference between AI and Machine Leanring:www.forbes.com/sites/forbestechcouncil/2018/07/11/machine-learning-vs-artificial-intelligence-how-are-they-different/#3fe70c4c3521.

[@yamiryuu]

I have no idea what im doing here, never finished college, failed all my math classes, no idea how to code.....but this thing intrigues me

[@SimplilearnOfficial]

We are glad our videos are motivating. Never give up in your life. You can definitely become a successful person when show passion and sheer will towards any subjects. This Machine Learning course requires an understanding of basic statistics and mathematics at the college level. Familiarity with Python programming is also beneficial but not mandatory. To kickstart, start with this amazing playlist which helped a lot of people: kzbin.info/www/bejne/q5zdd3xvp8yqnLc This playlist will provide you with a solid basic knowledge of Machine learning and its types with examples. It has videos both in R and Python. If you want to go further and get certified in Machine learning, check this out: www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-coursea.

[@heathneedham4274]

Me too. Math is hard :/

[@pratikmondal9301]

Can you please explain how it is calculated? 5/14 * I(3,2) = ?

[@femioluyemi5475]

Please what is the command to plot a graph of 2 or more items on y-axis? I meant if you want Milk, Sugar and Butter to be plotted against Flour. Could you please state the seaborn command? sns.lmplot(x="Flour", y="Sugar", data=s_param, palette='Set1', fit_reg=False, scatter_kws={"s": 1});

[@himalayshankar9882]

how to make the same environment of coding in which the tutorial was been made,can i have any recommended videos on it or any link??

[@SimplilearnOfficial]

Jupyter Notebook was used for this video tutorial. Please install the latest version of Anaconda on your system. Anaconda has Jupyter Notebook and Spyder IDE preinstalled. You just need to launch it. Follow the video link: kzbin.info/www/bejne/aXScdmWvhaeqbdU

[@MrTrader313]

nic one

[@SimplilearnOfficial]

Hi, we appreciate the kind comment! enjoy!

[@d3c3pt1_n]

I know this is a year later but when i type:: model = svm.SVC(kernel = 'linear') model.fit(ingredients, type_label) the output i get is SVC(kernel='linear') and that's it.

[@Singulating_Entropic_Abyss]

The narrator mixed up the slope and Y intercept. not a big deal, but its like a speed bump as my mind develops it's conceptual arena in time with the video. 17:23

[@silulekomkhize7839]

Brilliant teacher, thank you so much for this. Can you please categorise using all your predictors

[@SimplilearnOfficial]

Hey Siluleko, 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 :)

[@silulekomkhize7839]

@@SimplilearnOfficial could you kindly do a video on how to perform a multiple correspondence analysis and/or a principal components analysis to develop an index for Socioeconomic status with 5 levels (Quintile 1-5)

[@SimplilearnOfficial]

Hey Siluleko, thank you for watching our video. We will definitely look into your suggestions. Do subscribe and stay tuned for updates on our channel. Cheers :)

[@nickromano3391]

At 30:16 shouldn't it be E(9,5) since the 9 is yes and the 5 is no?

[@JesusGarcia-ne4ix]

Thanks a lot for this

[@SimplilearnOfficial]

We are so grateful for your kind words. Also, subscribe to our channel and stay tuned for more videos. Cheers!

[@souravfuad1934]

Thank you so much for this tutorial. It was great. I think it would be better if you set a link for the dataset in the comment or in the description.

[@SimplilearnOfficial]

Hello Sourav, 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.

[@souravfuad1934]

@@SimplilearnOfficial mail: [e-mail]

[@SimplilearnOfficial]

Hi Sourav, thanks for watching our video. We have sent the requested dataset to your mail ID. Do subscribe to our channel to stay posted on upcoming tutorials. Cheers!

[@johnnpraisy]

Awesome tutorial!!! Explained very well for a beginner.

[@SimplilearnOfficial]

Glad it was helpful!

[@jamierahman8080]

f you are have understood very basic, to go deeper into the M.L and Deep learning, check Sniffer Search

[@icakad3805]

I really like the 666k subscribers. This made me subscribe too.

[@SimplilearnOfficial]

Welcome aboard!

[@cricticalthinking4098]

A Classification or Clustering need more details on the problem B Classification C Anomaly D Regression Just here so I remember when I check out part 2.

[@presleymuwan4101]

This is a great tutorial. Too bad there is no link to download the dataset (slowed down my momentum - but still have the drive to complete the rest of the tutorial). Please provide me with the dataset.

[@SimplilearnOfficial]

Hello Presley, 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.

[@drcrazzy1134]

at 31:10, why is it the I(3,2) and I(4,0) and I(2,3) ? Shouldn't it be I(3/5,2/5) and I( 4/4, 0/4) and I ( 2/5, 3/5) ?

[@user-nobody506]

Great

[@SimplilearnOfficial]

Thank you so much!

[@-LTUIiiin]

thank you

[@SimplilearnOfficial]

You're welcome

[@user-nobody506]

Nice

[@SimplilearnOfficial]

Thanks!

[@CGPCreativity]

y = m *x + c that is a very interesting and non-standard way of writing slope-intercept form. Usually the variable 'b' is used for the y-intercept.

[@SimplilearnOfficial]

Hi Cody, thanks for watching our tutorial. We hope you love our contents. Teachings of concepts vary slightly with different regions, so variables may change from place to place but the concept remains the same. Thank you!

[@momentum_caba]

@Cody Gulley not really, dumba**

[@jijothankachan]

17:37 -- c & m - Definition is interchanged!

[@SimplilearnOfficial]

Thanks for pointing out the mistake. m is the slope or gradient, and c is the intercept.

[@muvvasandeep4990]

There's a mistake in the slide at 17:36. c is y-intercept and m is coefficient

[@SimplilearnOfficial]

Thank you so much for bringing this to our attention. We reported this right away to the relevant department.

[@TalionvsWorld]

@@SimplilearnOfficial You know, you can use annotation to temporarily fix that instead of leaving it this way as its quite confusing.

[@SimplilearnOfficial]

Hi, Thanks for your suggestion to fix the issue. However, annotation option has been removed currently.

[@meghaaggarwal8508]

Whats the difference between full machine learning course(7 hrs) and the videos that are posted in parts. Are they different?

[@SimplilearnOfficial]

Both has the same content. However, the compilation was made for the users benefit. Thanks.

[@rajasinghai27]

pls make your voice frequency a little low using a voice enhancer

[@SimplilearnOfficial]

Thank you so much for bringing this to our attention. We reported this right away to the relevant department.

[@Mr_Clumsee]

Not to criticize, but to see improvement. There is a mistake in the vedio at 29th minute and 58th second. Please have a look and rectify it.

[@SimplilearnOfficial]

Good eye! Our mistake! Thank you so much for bringing this to our attention. We reported this right away to the relevant department.

[@shekharkrishna6181]

The presentation is very intuitive, how to create such presentations?

[@SimplilearnOfficial]

Thanks for the kind compliment. We make these presentations with the help of Microsoft PowerPoint and Adobe premiere. Subscribe to our channel and stay tuned.

[@partoftheroutine7016]

Looked in comments for the data-set, but ended up pausing and writing it all out in a spreadsheet. Would be very helpful if next time you linked in the description. Kind of annoyed me when you gave info on how to get the data AFTER the video was over. Good tutorial otherwise. Thanks!

[@SimplilearnOfficial]

We are sorry about that! 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.

[@amandeep2580]

Hlo sir, i m from India . I want to write paper on machine learning please help me. I want to use classification and supervised learning. Please suggest me an idea...it will be your big thank.

[@SimplilearnOfficial]

Please start with the basics of Machine Learning, how it evolved and what is it. Cover the concepts on 3 types of learning methods that machine learning uses along with examples. Provides some good examples on Machine Learning. Then jump on to the prerequisites needed to learn Machine Learning. Finally, build a proper machine learning model using a popular dataset using Linear or Logistic Regression.

[@mathstats1]

I figured out why my graph was not working. When you use "b" for both 'model.support_vectors_[0] and model.support_vectors_[0]', it apparently worked for you but it would not for me. So, I had to change the next variable. I used "cc=model.support_vectors_[0] and "mm=model.support_vectors_[-1] and it worked.

[@SANK4444]

Hey

[@SANK4444]

Did the model.predict worked for u ?

[@MSUHC]

can you leave the datasets in the description so its easy access

[@SimplilearnOfficial]

We will be doing what you suggested in soon future. As for now, 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.

[@shanyechungu1]

when you plot the data at the end, all of the Sugar values are 0. Any idea why?

[@conradetian4923]

I think it's because sugar does not actually defines (or governs) whether the object is MUFFIN or CUPCAKE; instead the amount of flour does!

[@SimplilearnOfficial]

Thanks for your input!

[@nzl100]

They are not zeroes. It is just that the plot is extremely compressed with regards to y-axis, since the plotter is trying to show the entire black line. Notice the 1e16 at the top. That means that 1 on the y axis actually stands for 10000000000000000. Perhaps this plot would be clearer if they tuned it so it would show the plot with the same aspect ratio the plot without the line was shown. The black line would be almost vertical.

[@aarontan7117]

Man i feel dumb. I got mind blown when he was explaining the equation and decision tree thing

[@SimplilearnOfficial]

Hi Aaron, thank for the great compliment. Do 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.

[@KevinNguyen-il6zf]

Thank you for your tutorial, but the sound is poor, and treble high. Please increment bass.

[@SimplilearnOfficial]

Thank you for bringing this to our attention. We’re sorry you had a bad experience. We’ll strive to do better

[@pianfensi]

Well.. For Beginners it quiet escalated quickly into deep programming with libraries over and over o.o I'm missing the program ideas behind the first two concepts.

[@SimplilearnOfficial]

Hello, 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 :)

[@kirank1923]

hi , i am watching ur videos all but i need full details classification all algorithms and i need data set please help me

[@SimplilearnOfficial]

Hi Kiran, you can get full details of all algorithms by checking out our machine learning playlist: kzbin.info/www/bejne/q5zdd3xvp8yqnLc. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. Hope that helps!

[@jumbo999614]

I'm new to this thing. So majority of Machine Learning is about solving math problem?

[@SimplilearnOfficial]

Machine learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of machine learning. You can start with this amazing playlist which helped a lot of people: kzbin.info/www/bejne/q5zdd3xvp8yqnLc This playlist will provide you with the solid basic knowledge of Machine learning and it types with examples. It has videos both in R and Python. If you want to go further and get certified in Machine learning, check this out: www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course.

[@rudranshvyas7539]

Simplilearn your course was fantastic but please send me dataset you used

[@SimplilearnOfficial]

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

[@hans7701]

Would be nice if the dataset was included. Perhaps a shared Drive document?

[@SimplilearnOfficial]

Hello Hans, 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.

[@sahilbhogate1652]

Hello Simplilearn team, this is a great video. Could you please send me the study material , datasets and codes used in this tutorial.

[@SimplilearnOfficial]

Hello Sahil, 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.

[@sahilbhogate1652]

@@SimplilearnOfficial My email Id : [e-mail]

[@zakariaemahla7638]

Thank you for sharing this tutorial. Can you please upload your dataset in a github repo?

[@SimplilearnOfficial]

Yes, soon. However 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.

[@zakariaemahla7638]

@@SimplilearnOfficial Thank you for your reply. Here is my email : [e-mail]

[@sushantpatil8051]

Can i please get the dataset used and the code used in the video.

[@SimplilearnOfficial]

Hello Sushant, 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.

[@IthaliiJackson]

Hey, This tutorial is great. Thanks. Can I get the dataset used, please?

[@SimplilearnOfficial]

Hello Jackson, 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.

[@MarcHershey]

@@SimplilearnOfficial Could you not upload it and let us download it?

[@SimplilearnOfficial]

Hello Marc, 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.

[@rohan352]

hey there should i learn pandas and numpy before going through this tutorial? i know python really well but not so familiar with pandas....

[@SimplilearnOfficial]

Hi Rohan, you are right about it. It is really helpful if you know about Pandas and Numpy before watching this video. The links of NumPy and Pandas videos are below: 1. NumPy video: kzbin.info/www/bejne/jKWmi3miiceCm80 2. Pandas video: kzbin.info/www/bejne/hpe5qXmMZr-DpM0

[@rohan352]

Thanks a lot!

[@rohan352]

And btw is there anything else to know other than pandas and numpy?

[@SimplilearnOfficial]

You are welcome!

[@SimplilearnOfficial]

This is more than enough for the basic Tutorial! You are good to go!

[@luswataofficial]

hey thank u cool staff am requesting u for a email spam data set in csv format please

[@SimplilearnOfficial]

Hello Luswata, 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.

[@neerajwarrier33]

Is it possible to get the data set ?

[@SimplilearnOfficial]

Hello Neeraj, 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.

[@laas29]

Good material, but the audio is very acute

[@SimplilearnOfficial]

Thank you so much for bringing this to our attention. We reported this right away to the relevant department.

[@Shiyounin]

Why did you record audio through a soup can?

[@SimplilearnOfficial]

We are sorry about that, we will share the feedback about the audio with the relevant department

[@dineshgowdam6691]

understanding purpose but bad audio...though.. :)

[@SimplilearnOfficial]

We are sorry about that Dinesh, we will share the feedback with the relevant department.

[@anshadarsh4912]

Provide the data set

[@muthulakshmiramanathan2352]

A - Classification, B- Clustering, C - Anomaly Detection, D- Regression

[@SimplilearnOfficial]

Thanks for watching our video. Cheers!

[@tejasukalkar2199]

I got an error after typing this model = svm.SVC(kernel='linear') model.fit(ingredients, type_label) ValueError: The number of classes has to be greater than one; got 1 class what to do?

[@SimplilearnOfficial]

"Hi Tejas This error arises when you have only one unique class label in the training set. Check this link to learn more: stackoverflow.com/questions/40780033/valueerror-the-number-of-classes-has-to-be-greater-than-one-python"

[@tejasukalkar2199]

@@SimplilearnOfficial I'm unable to understand the solution 😅

[@manmohansoni2849]

Nice tutorial. Can I get the data set?

[@SimplilearnOfficial]

Hello Manmohan, 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]

Hi Arun, thanks for watching our video. We have sent the requested dataset to your mail ID. Do subscribe to our channel and do not forget to hit the bell icon for never missing another update. Cheers :)

[@SimplilearnOfficial]

Hello Diwakar, 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.

[@MarcHershey]

Can i amazon you a boom mic? Audio is horrible but the knowledge is worth ignoring the audio issue.

[@SimplilearnOfficial]

Thank you so much for bringing this to our attention. We reported this right away to the relevant department.

[@lucafiessler3219]

Am I missing something or why is sugar always 0 in the graphs?

[@SimplilearnOfficial]

Hi, that's the dataset and the number of rows we have taken which has sugar has zero in it. Call it a coincidence.

[@nzl100]

@@SimplilearnOfficial nope, sugar is not 0. Look at the scale of the graph on top - 1e16 - that means 10000000000000000! Everything looks like 0 if you compare it to a large enough number! :D

[@sachin143ful]

Hi can i get dataset

[@SimplilearnOfficial]

Hello Sachin, 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.

[@gsffm9044]

The audio is so bad. Its disturbing in some kind! Please keep in mind the next time!

[@SimplilearnOfficial]

Thank you so much for bringing this to our attention. We reported this right away to the relevant department.

[@rasadesigners]

Hey guys somebody help. When i run recipies=pd.read_csv('filepath '). Unicode error comes. What to do. Pls help

[@SimplilearnOfficial]

In your file path, there must be some character which the version you're using might not be supported. In this error, usually, you either need to duplicate all backslashes or prefix the string with r (to produce a raw string).

[@rasadesigners]

@@SimplilearnOfficial Thank u soo much for reply. I started to use r'''filename'''its worked.

[@SimplilearnOfficial]

You are very welcome!

[@wenkainiu765]

Could you please send me the required data sheet?

[@SimplilearnOfficial]

Hello Wenkai, 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.

[@rohinikhandare5029]

Whats fee for post graduate programm??

[@SimplilearnOfficial]

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!

[@marufhussain9769]

Can you provide the csv file of muffin and cupcake in desciption

[@SimplilearnOfficial]

Hello Maruf, 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.

[@joeblack8843]

what about the fact that machines can do everything better than humans?

[@abdelhakhayane2274]

Thank you for this course. You can send me the file of the dataset

[@abdelhakhayane2274]

[e-mail]

[@SimplilearnOfficial]

Hi, thanks for watching our video. We have sent the requested dataset to your mail ID. Do show your love by subscribing to our channel using this link: kzbin.info and don't forget to hit the like button as well. Cheers!

[@abdelhakhayane2274]

@@SimplilearnOfficial please sent me dataset of the companies example

[@ravikiran2927]

Can you send the data set ?

[@SimplilearnOfficial]

Hello Ravi, 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.

[@vaibhavimacherla1603]

can you please send the data sets

[@SimplilearnOfficial]

Hello Vaibhavi, 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.

[@Chibuzo75]

Great tutorial....Could you send me the dataset? Thanks

[@SimplilearnOfficial]

Hello, 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.

[@Chibuzo75]

[e-mail]..Thank you

[@SimplilearnOfficial]

Thanks for sharing your email ID. We have sent the requested dataset to your mail ID. Do show your love by subscribing our channel using this link: kzbin.info and don't forget to hit the like button as well. Cheers!

[@Chibuzo75]

@@SimplilearnOfficial Thank you, I got it!

[@SimplilearnOfficial]

You are welcome!

[@user-mg8dd4qy6m]

A, classification B, classification C, reggression D, anomaly

[@compphysgeek]

29:29 log squared!? you mean log base 2, right?

[@SimplilearnOfficial]

Yes, it is log base 2. Sorry for the confusion.

[@georgiyordanov2271]

Very good video content but baaaad audio

[@SimplilearnOfficial]

Thank you so much for bringing this to our attention. We reported this right away to the relevant department.

[@tannewton]

To those who have no idea what Go is: It's like chess but bloody more difficult.

[@SimplilearnOfficial]

Totally True!

[@ConnorAZ]

What are you saying plus minui mean sum ?😥😥😥😥😣😣😣🤔🤔🤔🤨🤨I don't get it can you please explain what are you doing in a seperate video I am not a math guy........!!???

[@ConnorAZ]

and yea don't catch me on saying what is plus and minus I know what they are but the way you are saying is like talking to a next level Einstein !

[@josephtoniodavid9518]

coul i have the data set

[@SimplilearnOfficial]

Hello Joseph, 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.

[@ChamberlainCody]

Can you please send me the datasheet?

[@SimplilearnOfficial]

Hello, 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.

[@bharathkumarchinneni9606]

I want dataset of sci kit numpy libraries

[@SimplilearnOfficial]

Hi Bharath, please provide us with your email ID so that we can send the requested dataset immediately. Thanks.

[@irshad125001]

@@SimplilearnOfficial Hi, please send me the muffin vs cupcake dataset. my email id is [e-mail]. thank you

[@SimplilearnOfficial]

Hi Irshad, thanks for watching our video. We have sent the requested dataset to your mail ID. Do subscribe to our channel and do not forget to hit the bell icon for never missing another update. Cheers :)

[@twinshuang]

@@SimplilearnOfficial could you also send me the dataset to my email: [e-mail] thank you

[@SimplilearnOfficial]

Hi Raffael, we have sent the requested dataset to your mail ID. Do subscribe to our channel and do not forget to hit the bell icon for never missing another update. Cheers :)

[@easymac79]

5:15 Not my cell phone. It can barely run Google Maps.

[@SimplilearnOfficial]

Haha! You need to get yourself an AI powered phones (smart phones)

[@easymac79]

@@SimplilearnOfficial I've got one, lol Moto x4. I just mean it's too slow. I know technically it has the CPU commands to do it.

[@athirooban3961]

Hi simplilearn. Could you please send me the dataset.

[@SimplilearnOfficial]

Hi Rooban, thanks for watching our video. We have shared the requested dataset to your inbox. Do subscribe to our channel and do not forget to hit the bell icon for never missing another update. Cheers :)

[@SimplilearnOfficial]

Hello Haddad, 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.

[@himalayshankar9882]

@@SimplilearnOfficial [e-mail]

[@SimplilearnOfficial]

Hi Himalay, thanks for watching our video. We have shared the requested dataset to your inbox. Do subscribe to our channel and do not forget to hit the bell icon for never missing another update. Cheers :)

[@MrKazcor]

It would be really awesome if you remade this video with better audio. It's really annoying. Great content otherwise.

[@SimplilearnOfficial]

Hey Kazcor, 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 :)

[@terrillzhu]

lol 4:04 you just pronounced neither Ke nor Jie right, in a very cute way.

[@SimplilearnOfficial]

Haha! thanks for the honest feedback. We will make sure we don't make any pronunciation errors in future videos. Thanks.

[@piyushgoenka6087]

where can i find the dataset of the muffin vs cupcake ?

[@SimplilearnOfficial]

Hi Piyush, we have sent all the required dataset to your mail ID. Happy learning!

[@rasadesigners]

@@SimplilearnOfficial Hi can u sent me the dataset too ?

[@rasadesigners]

[e-mail] send me the data too pls

[@SimplilearnOfficial]

Hi Willy, thanks for watching our video. We have sent the requested dataset to your mail ID. Do support us by subscribing to our channel and also by giving a thumbs up to our videos. Thanks.

[@SimplilearnOfficial]

Hi, 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 :)

[@arturoaguilar261]

can you send me data set?

[@SimplilearnOfficial]

Hey Arturo, 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! :)

[@richardssenyange9088]

dataset

[@SimplilearnOfficial]

Hello Richard, 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.

[@richardssenyange9088]

richard ssenyange

[@surendramaharjan4499]

Very poor sound quality. Hard to understand. Plz improve.

[@SimplilearnOfficial]

Thank you for your review. I’m sorry to hear you had such a frustrating experience, but I really appreciate you bringing this issue to my attention