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Data Science for Engineers IITM
Добавлен 14 ноя 2017
K - Nearest Neighbors implementation in R
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2. Regional language subtitles available for this course
To watch the subtitles in regional languages:
1. Click on the lecture under Course Details.
2. Play the video.
3. Now click on the Settings icon and a list of features will displa...
1. The translated content of this course is available in regional languages. For details please visit nptel.ac.in/translation
The video course content can be accessed in the form of regional language text transcripts, books which can be accessed under downloads of each course, subtitles in the video and Video Text Track below the video.
Your feedback is highly appreciated. Kindly fill this form forms.gle/XFZhSnHsCLML2LXA6
2. Regional language subtitles available for this course
To watch the subtitles in regional languages:
1. Click on the lecture under Course Details.
2. Play the video.
3. Now click on the Settings icon and a list of features will displa...
Просмотров: 9 531
Видео
K - means Clustering
Просмотров 10 тыс.6 лет назад
To access the translated content: 1. The translated content of this course is available in regional languages. For details please visit nptel.ac.in/translation The video course content can be accessed in the form of regional language text transcripts, books which can be accessed under downloads of each course, subtitles in the video and Video Text Track below the video. Your feedback is highly ...
K - means implementation in R
Просмотров 16 тыс.6 лет назад
To access the translated content: 1. The translated content of this course is available in regional languages. For details please visit nptel.ac.in/translation The video course content can be accessed in the form of regional language text transcripts, books which can be accessed under downloads of each course, subtitles in the video and Video Text Track below the video. Your feedback is highly ...
Data Science for engineers - Summary
Просмотров 6 тыс.6 лет назад
To access the translated content: 1. The translated content of this course is available in regional languages. For details please visit nptel.ac.in/translation The video course content can be accessed in the form of regional language text transcripts, books which can be accessed under downloads of each course, subtitles in the video and Video Text Track below the video. Your feedback is highly ...
K - Nearest Neighbors (kNN)
Просмотров 12 тыс.6 лет назад
To access the translated content: 1. The translated content of this course is available in regional languages. For details please visit nptel.ac.in/translation The video course content can be accessed in the form of regional language text transcripts, books which can be accessed under downloads of each course, subtitles in the video and Video Text Track below the video. Your feedback is highly ...
Multiple Linear Regression Modelling Building and Selection
Просмотров 7 тыс.6 лет назад
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Classification
Просмотров 6 тыс.6 лет назад
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Performance Measures
Просмотров 6 тыс.6 лет назад
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Logisitic Regression ( Continued )
Просмотров 5 тыс.6 лет назад
To access the translated content: 1. The translated content of this course is available in regional languages. For details please visit nptel.ac.in/translation The video course content can be accessed in the form of regional language text transcripts, books which can be accessed under downloads of each course, subtitles in the video and Video Text Track below the video. Your feedback is highly ...
Logisitic Regression Implementation in R
Просмотров 6 тыс.6 лет назад
To access the translated content: 1. The translated content of this course is available in regional languages. For details please visit nptel.ac.in/translation The video course content can be accessed in the form of regional language text transcripts, books which can be accessed under downloads of each course, subtitles in the video and Video Text Track below the video. Your feedback is highly ...
Logisitic Regression
Просмотров 8 тыс.6 лет назад
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Cross Validation
Просмотров 7 тыс.6 лет назад
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Simple Linear Regression Model Assessment ( Continued )
Просмотров 5 тыс.6 лет назад
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Muliple Linear Regression
Просмотров 7 тыс.6 лет назад
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Simple Linear Regression Model Building
Просмотров 10 тыс.6 лет назад
To access the translated content: 1. The translated content of this course is available in regional languages. For details please visit nptel.ac.in/translation The video course content can be accessed in the form of regional language text transcripts, books which can be accessed under downloads of each course, subtitles in the video and Video Text Track below the video. Your feedback is highly ...
Simple Linear Regression Model Assessment
Просмотров 6 тыс.6 лет назад
Simple Linear Regression Model Assessment
Diagnostics to Improve Linear Model Fit
Просмотров 9 тыс.6 лет назад
Diagnostics to Improve Linear Model Fit
Solving Data Analysis Problems - A Guided Thought Process
Просмотров 14 тыс.6 лет назад
Solving Data Analysis Problems - A Guided Thought Process
Multivariate Optimization With Inequality Constraints
Просмотров 10 тыс.6 лет назад
Multivariate Optimization With Inequality Constraints
Multivariate Optimization With Equality Constraints
Просмотров 11 тыс.6 лет назад
Multivariate Optimization With Equality Constraints
Gradient ( Steepest ) Descent ( OR ) Learning Rule
Просмотров 12 тыс.6 лет назад
Gradient ( Steepest ) Descent ( OR ) Learning Rule
Unconstrained Multivariate Optimization
Просмотров 13 тыс.6 лет назад
Unconstrained Multivariate Optimization
Unconstrained Multivariate Optimization ( Continued )
Просмотров 8 тыс.6 лет назад
Unconstrained Multivariate Optimization ( Continued )
Ye to galat bol rha hai
Translations aren't accurate
multiple errors on slides, please correct
Thank You for the Computer Data Science Information
c() function stands for 'Combine' in R.
thank you sir
best explanation
More examples are needed and must be of video sharing of coding simply passing the slides is useless
Great Explanation
excellent! A novice can also clearly understand the concepts. Thanks to the faculty and to NPTEL
Shaktimaan intro?
it feels like he is teaching to some experts, i didn't get anything . Very poor quality of teaching
ruclips.net/p/PLTNMv857s9WVzutwxaMb0YZKW7hoveGLS Thank me later
I like other youtubers the way in which they teach which we can understand but NPTL is too long videos and boring because I not understand
Excellent sir clear presentation and clarity
Thank you so much sir!!
Shall we complete this course and attend this course's exam through python?
Great introduction.
I heard the similar lecture from other Professor but this is the best explanation. Thank you Sir.
Bad explanation ,should give example problems and solve them And for the programming ones they should implement and show
poor qualtiy
Pathetic !
Sir. What is the geometric intuition behind the complementary slackness. Why is the multiplier positive for maximisation problems. These questions unresolved would make a student uninterested.
Yeah good point
There is lack of problems explained
I am curious why you provide the lectures with Subtitle "English NPTEL Verified" for non-English Subtitles
for kkt conditions one may watch ruclips.net/video/uh1Dk68cfWs/видео.html
at 12:08, the median will also get changed to 71 as after adding 50 to 55, the value goes from left half to right half, shifting the median
Voice is too low
Your voice is very low sir
The whole course is crisp and exactly to the point.... Thank you sir and thank you team....
From where can I get the sample data, to practice!?
Not only engineers but other students can benefit from it as well. I became a fan of this guy.
Excellent. Clear. Thanks.
Thankyou Sir for a very nice way of explanation
Thanks for sharing this! Those who struggle to understand this a bit can refer to following video (it heped me a lot): ruclips.net/video/sDv4f4s2SB8/видео.html&ab_channel=StatQuestwithJoshStarmer
Why so many downvotes. ???
Very well taought; thanks a ton!
Well taught. What would have helped is defining/establishing a connection of these theoretical concepts with real world data science applications; how would these be applied or relevance of knowing this.
Thanks, very well taught!
Thanks a ton for doing this! :)
Very well taught, thanks a ton! Not sure who are the jokers who did not like this video!
Outside from india can enroll this course?
I am a little lost, why x' is on the line of (o,n), thanks!
Got it. n is orthogonal to the line, so (o,n) is orthogonal to the line of x'n+b=0. Thanks!
I think the slides are wrong , because the transpose should be for normal vector not for the X vector , and the inequalities which are differentiating the half-space is not correct , they must not be strict .
Thank you so much. It really helped. I wish if you could recommend a related reference about hyper-dimensional space and specifically hyperplanes.
Can anyone share the link of the dataset
sir study material provide kera dijiye
Hello sir does nptel have python data science course?
No clarity Sir
Consider completing some examples first. You might find the lack of clarity is in your own understanding.
now I am worried because lot of students will get confused because of poor english. And again IIT held course on theory slides for programming language. Who is poor in basics of programming , don't watch this videos. u can follows other hands on courses. after completing course come to nptel and solve assignment questions here. They are good ones.
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