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Ami Munshi
India
เข้าร่วมเมื่อ 27 มิ.ย. 2011
NLP_02_TextPreprocessing&Representation Part1
NLP_02_TextPreprocessing&Representation Part1
มุมมอง: 12
วีดีโอ
DBSCAN Clustering
มุมมอง 23K2 ปีที่แล้ว
Density based clustering method-DBSCAN is discussed with the help of a numerical example
Agglomerative Hierarchical Clustering
มุมมอง 3322 ปีที่แล้ว
Agglomerative Hierarchical Clustering method for unsupervised machine learning is explained with the help of a numerical example
k means
มุมมอง 2392 ปีที่แล้ว
k-means algorithm for clustering with a numerical example Please note that at time 08:56 in calculating new mean m1new. m1new should be {4,5.5} Accordingly when the Euclidean distances of each sample is calculated from m1new and m2new, cluster assignments obtained will be C1= {1,5,9} and C2={2,3,4,6,7,8,10}
Logistic Regression using EXCEL
มุมมอง 21K2 ปีที่แล้ว
Obtaining logistic regression coefficient using EXCEL is shown in this video
Assigning binary code word to the tag generated by Arithmetic Code
มุมมอง 1533 ปีที่แล้ว
This video explains the algorithm to assign binary code word to the tag generated by arithmetic code
ImageEnhancement 02 PointProcessingIntro
มุมมอง 373 ปีที่แล้ว
Introduction to Point Processing and Neighbourhood Processing Techniques of Image Enhancement
Convolution Code Viterbi Algorithm - Part 7 b
มุมมอง 1.2K4 ปีที่แล้ว
Convolution Code Viterbi Algorithm - Part 7 b
Convolution Code Viterbi Algorithm - Part 7 a
มุมมอง 8584 ปีที่แล้ว
Convolution Code Viterbi Algorithm - Part 7 a
Convolution Code Transfer Function - Part 6
มุมมอง 3.8K4 ปีที่แล้ว
Convolution Code Transfer Function - Part 6
Convolution Code - Trellis Diagram Part - 4
มุมมอง 9K4 ปีที่แล้ว
Convolution Code - Trellis Diagram Part - 4
Convolution Code State Diagram Part - 2
มุมมอง 3.8K4 ปีที่แล้ว
Convolution Code State Diagram Part - 2
hi, you explained this better than my prof, thanks alot. So simple to understand
No link to download template to try out steps?
thank you!
دكتورنا الفاضل ارجو الرد علي الايميل بعد اذن حضرتك
Great explanation
very well explained. Thank you
Glad you liked it
thank you
Thanks for your effort, Ami, but the later end of the video isn't well explanatory. Kindly look into that. Thanks.
karouche lqsir hh
thank you for this hepful madam.
So what is the final clusters?
I am shocked no one else asked this question!
Why are you doing the sum of likelyhood? please improve the explanation.
Beautifully explained
Thank you so much 🙂
Awesome ma'am
Thanks a lot
Thank you ma'am
Thank you too
S3 has 2 sample points not 3
big fan
thank u maam
Really very helpful!!
Well explained thanks a lot ma'am 👍👍
Thanks for liking
Thank you
You're welcome
Nice explanation
Thanks for liking
Well Explained Maam 👍👍😊
Thanks a lot 😊
Hi Ami, I tried contacting you using your NMIMS details but couldn't reach you. Is it possible to contact you through some other ways? I have a few questions. Thank you so much Regards
In k means clustering, is there an assumption in numbers of observations and variables? Would having variables greater than observation affect the results of clustering and make it less accurate?
Really helpful!
Glad it was helpful!
Link to K-means Clustering th-cam.com/video/mEuqKpkw3KY/w-d-xo.html
Link to Logistic Regression in Excel th-cam.com/video/Wbtc-2f0Do0/w-d-xo.html
Thanks for that explanation Ami. Now that we have the results of this analysis ... now what? Can you help me by pointing me at what we do next?
Hello Duncan...Thanks for the feedback. Now after you have obtained the regression coefficients, we can find out the probability for the given sample using the regression coefficient. Based on the value of probability, we can predict the class for that attribute. Please go through my article in this link. www.analyticsvidhya.com/blog/2022/02/logistic-regression-using-python-and-excel/
@@ami25480 Can you provide a link to download the datasets? Thank you.
Hello @@lerbenghin7191 the dataset is uploaded here www.kaggle.com/datasets/amimunshi/logisticregression
Thank you really helpful
Glad it helped