Title | : | Machine Learning Algorithms | Machine Learning Tutorial | Data Science Algorithms | Simplilearn |
Lasting | : | 1.11.05 |
Date of publication | : | |
Views | : | 364 rb |
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Great explanations, thank you Comment from : Ali Burhan Güncan |
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this is so good lesson some other only teach the theory no coding but this one show the action of it with plenty of explanation Comment from : Key |
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Thanks for this video It is such a great help for our studybr😁 Comment from : RIZAL BABAO |
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Excellent explanation by simplilearnthank you sir Comment from : Jyotika Faldu |
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Well explained! Comment from : Bushra Bashir |
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I subscribed your channel for I like your explanation and your response for providing the dataset for each person separately and reading every comment & solving their doubt's Comment from : Sura Sai manikanta Prakash |
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Sir can I have the data set Comment from : Krishna Vhatkar |
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Please Share a ipynb file Comment from : Thiyagarajan V |
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Wonderful tutorial Can you please send me the data Thank you Comment from : Payel Banerjee |
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This is fantastic!!!! Comment from : deecm22 |
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Thoeriotically okey but when coming to programming just skipping some points like saying etc, we are coming to learn each and every thing not major points Comment from : Paulyangcho - Christ Ministries |
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Good explanation sir Comment from : Deepthi Katturi |
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best teaching site Comment from : BUINDA ALEX |
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pure greatness l enjoyed the video can you please send me the Logistic Regression dataset for practice Comment from : Bethwell |
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Please, I need the dataset in this tutorial for hands-on experience Comment from : Oluwaseun IGE |
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i need the code of 29:10 - 52:49 Logistic regression Comment from : Muhammad Saqib |
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hello, this is very interesting, can you share the dataset so that I can follow along on coding the models also! thanks in advance Comment from : Dominic Mtaki |
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Very nicely explained Sir! So Thanks Regards Comment from : Rovin Gupta |
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Awesome 👍👍👍 Comment from : Aman Shaikh |
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I need data used in your demos thanks in advance Comment from : ALI ZAAOUAT |
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where to copy code? Comment from : Code With Mazhar |
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Please correct RMSE formula at 27:55,which is mentioned wrong Please take care such mistakes Comment from : 4funsurya |
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Very nice explanation of the machine learning Thank you so much for the tutorial Comment from : ZAHEER AHAMED MULLA - SYNERGY LEARNING |
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Very good explanation Comment from : kamal shah |
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help please in linear regression i have been following same steps and rule but i am getting different values I am new to it and unable to resolve it Comment from : Imaan Sarwar |
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TOO GOOD THANKS Comment from : SAFAYET RIFAT |
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Sir, thank you excellent video to get started Are the python codes used in this video available to run on Jupyter notebook? Would be of great use for practicing if they are made available Comment from : K N |
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Hi sir, can u plz share this Jupiter python code Comment from : Ramesh Kumar |
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Amazing Content Comment from : Iscche Ghuri SE |
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This video is very informative Could you please share the data set for each video? Comment from : nkongho njoh |
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Very well explained Very good video for beginners I highly recommend Thank you so much for explaining in detail The pace is absolutely perfect Comment from : Sudipta Dey |
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Very nice lecture with good example Thank you Simplilearn By the way I have got my PMI Risk Management Certification through you Can you please send me the ML algorithms? Thank you again Comment from : Narsima C |
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It was best course explained so far Can i get the datasets and python codes? Comment from : yashika gupta |
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This is an excellent and very simplified tutorial Please send me the link to source code Thanks Comment from : Ashok Mudgapalli |
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Thanks for the straight forward tutorial Can you please send me the dataset? Thanks Comment from : Jennifer Isoa |
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Nice explanation Comment from : uday kumar |
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Thanks for sharing, can you share the example of dataset Really appreciate it Comment from : syaduinotech |
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Many thanks for putting this top-notch video up If you could, please share the dataset utilized in the tutorial :) Comment from : Clement |
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As always, great quality lectures by SimpliLearn Thank you! Comment from : Sameer K |
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Wonderful video Thank you so much for creating this I learnt a lot out of this 🙏 Comment from : Neeraj Rohilla |
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Amazon video Comment from : SHANTANU RAJ |
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Unique explanation even a layman can understand vkraman MBA Pg dip pg diploma in sqc and or & GM air India Comment from : Raman VK |
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Can you please give me the dataset? Comment from : SAURAV CHOUDHURY |
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I really cannot thank you enough, my great appreciation is owed to you Comment from : K K |
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Thank you very much for this informative video !
brThe content and pace is very nice :) Comment from : Grishma |
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Informative video 🤙🤙🤙 Comment from : Shawn Jaswal |
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Hello Sir! Thank you for this great tutorial! Can you send me the datasets for more practice please? Thank you in advance! Comment from : Flora Ceja |
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amazing summary video,thank for this type of tutorial Comment from : Dharmendra Kumar |
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excellent presentation Comment from : Julieta Páez Enrico |
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I want to learn this for my website and my app Comment from : Bigtask At-hand |
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Super Comment from : Madhavaraj |
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Helpful Comment from : All in one |
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Thank you sir for providing such a comprehensive knowledge on ML algorithms I would like to share that the portion covered in this video is what is asked in most of the data analysis ML interviews this basics are the building blocks to grow upon Comment from : Nikhil Shahare |
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hi im looking for data set Comment from : madapati sindhuri |
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This was a great video with really good explanations Please share the datasets with me Thankyou Comment from : Pournima Bharat Kute |
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Thank you sirYour team is doing so good for the purpose of helping studentslove & respect for simple learning team Comment from : Samaul Haque Malik |
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This is a lifesaver I have learned so much, and it will help me get a ML job Comment from : Amander Yazzledazzle |
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Thanks for watching the video The link for the dataset used in the video is provided in the description Thanks! Comment from : Simplilearn |
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plz provide data set Comment from : rajesh kumar |
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Please provide the dataset Comment from : Ranjan Sharma |
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Can you send me the dataset for more practice? This was a really interesting quick overview of the ML algorithms Cheers Comment from : Barel Musenga |
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Hlo sirbrIt's a good explanation of machine learning with python and the way of teaching is excellentbrCan u share the data sets for practicingbrashwiniyadavkodaboina@gmailcom Comment from : Kodaboina Nirmala |
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Thank you so much for this wonderful online tutorial, I am a beginner to ML and this tutorial are so helpful Can u please share the dataset my mail :- srkchinna123@gmailcom (hide my mail) Comment from : SAI RAM KUMAR SRK |
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Very nice explanationPlz share the dataset Comment from : Bighnaraj Panigrahi |
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Hats off team Id be glad to receive the used datasets tamalmajumder687@gmailcom Comment from : Tamal Majumder |
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I really like this course and would appreciate if you could send the dataset to sriiimareedu@gmailcom Comment from : sri Mareedu |
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Really nice work and helpful! Thank You! Comment from : keerat tanwar |
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PLEASE CHECK: 15:54 RMSE is wrong, you have calculated the square root of Mean absolute error and not MSE Comment from : keerat tanwar |
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Can you please share all the datasets used in this video to yaswanthd2001@gmailcom? Comment from : Dasu Yaswanth |
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Thanks for sharing the Machine learning algorithm I am a beginner, the tutorial is very helpful for me to understand Machine learning Could you please share the Datasets used for all (linear and logistic regression, decision tree and random forest and knn, etc) algorithmsbrThank youbremail id: tiwarisun10@gmailcom Comment from : Sunidhi Tiwari |
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Very good tutorial about machine learning Could I have the dataset, please? merdeta@gmailcom Comment from : femertotal |
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Plz send me a data set brTo prasadmv6305@gmailcom Comment from : VENKATA PRASAD MERUGU |
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I am glad to find this channel Thanks for doing wonderful job These tutorials are very helpful Could you please share the datasets used for all (logistic and linear regression, decision tree and knn) algorithms brMy email address is:brtiwarisun10@gmailcom Comment from : tanmay tiwari |
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hey its really helpful please keep uploading videos like this can you please send me the dataset of the same! Comment from : Vivek Sinha |
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thanks for a great video on ML topics It's very helpful and easy to understand Could you please email the dataset mbungeelliot@gmailcom Comment from : Elliot Mbunge |
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Very goodalways wanted something like this Plz post more on ML Comment from : Monalimonali Alwadkar |
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Can you send the dataset jdkjfjfkggoh@gmailcom Comment from : r |
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Really knowledgeable all algorithms are explained very wellCould you please provide the dataset and python code for these algorithms Comment from : Deepika Sharma |
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Please provide ppt Comment from : Vijay Choudhary |
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Thank you sir for explaining on important ML algorithms in clear manner Could you please send datasets for practice to this below email idbrdldeep548@gmailcom Comment from : Deepthi L |
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hi can i get the datasets? Comment from : Miriam Jebiwott |
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Nice Comment from : Viswanadh Y |
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data set please Comment from : Joel Gracia |
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Please share me datasets I want to do some practice Comment from : Vishakha More |
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Great tutorial! Thanks for sharing the Machine learning algorithm video This tutorial is very helpful for me to understand Machine learning Could you please share the Datasets used for all (linear and logistic regression, decision tree and random forest and knn) algorithms and python codes My email address is jmpatterson14@studentsdesuedu Thank you in advance! Comment from : Joshua Patterson |
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Hi do you have the continuation of this topic of ML for unsupervised algorithms ? Comment from : placide kasoka |
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Clear instructions! Could you send me the dataset? Thanks!brbrmathijsmillenaar@gmailcom Comment from : Mathijs Millenaar |
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Thanks for the free tutorial May i get the datasetThank you Comment from : mwashe berit |
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Share the data set please Comment from : DENZEL OMONDI |
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trust me im leaning ML for almost 6 months and nobody explained as clear as this one thankzz Comment from : Prashanth Shetkar |
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Hello, I really like this concise tutorial I would really appreciate it if I could have the data set Comment from : Xyz |
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Good explanation Comment from : Soud Ousman |
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Nice video Hoping more videos on machine learning ! Plz share me the data sheets Comment from : Vijay Devara Karna |
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@23:50 you don't need : plt Show() when you are using matplotlib inlinebrbr@36:54 the chart that you have used to explain the confusion matrix is wrong The predicted and the actual class needs to be interchanged And the top left diagonal is true positives and not true negativesbrbr@37:35 you say the accuracy is 013 whereas its 13brbr@40:21 you say that you are loading 3 columns whereas you have just loaded 2nd and 3rd How can you simply drop a predictor without seeing how it impacts your modelbrbr@44:04 you are telling that there is no limit to splitting the test and the training data That is not true If you give too much data to training the model will overfit and if you give less it will probably underfitbrbr@45:20 for all those wondering what happened, we subtracted from each entry the mean(bringing the mean to 0) and dividing by the standard deviation (making unit variance) This is called standardscaling and their are substitutes to this depending on the distribution (symmetric or asymmetric) Comment from : Nikhil Rana |
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Thank you very much your tutorial is on pointMay you share the dataset and the notebooks Comment from : Godfrey Mbizo |
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Hi, I have watched the video , it is very helpful and looking forward to learn more from it Could you please send all the datasets you have used here? It will be helpful for practice kindly do the needful Comment from : Kumar Ankit |
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This is really a good video for starters in machine learning Thank You for it It would be really helpful if you could share the datasets used in the examples for self-practice I don't prefer to share my email ID here in public chat Please advise on alternatives to share my email ID for datasets Thank You Comment from : VIDHYALAKSHMI PARTHASARATHY |
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