Scatter plots use dots in two dimensions to show how much one variable is affected by another or the relationship between them. Scatter plots are similar to line graphs in that they plot data points using horizontal and vertical axes.
We can identify linkages and patterns that might otherwise go unnoticed if we modelled our data around individual data points by representing data structures as graphs. Machine learning on graphs aids in the encoding of graph structures that machine learning models can then exploit.
Graphs are a popular way to visually represent data relationships. A graph's goal is to convey data that are too many or complicated to be fully expressed in text and in a limited amount of space. However, graphs should not be used for small amounts of data that could be expressed in a single sentence.
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Rishu Shrivastav
5
explained everything in detail. I have a question learnvern provide dataset , and ppt ? or not?
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VIKAS CHOUBEY
5
very nicely explained
V
Vrushali Kandesar
5
Awesome and very nicely explained!!!
One importing thing to notify to team is by mistakenly navie's practical has been added under svm lecture and vice versa (Learning Practical 1)
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Mohd Mushraf
5
Amazing Teaching
J
Juboraj Juboraj
5
Easy to understand & explain details.
J
Joydeb
5
Awesome Course sir and your teaching style is very GOOD.
S
Shaga Chandrakanth Goud
5
Hi Kushal ji, Thanks a lot for a very good explanation. I have doubts about where we can get the dataset that you explained in the video. Can you make it available in resource ,so that we can downld
N
Neel Khairnar
5
Kushal is very good explainer he is covering all topics nicely 👍
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