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Artificial intelligence (AI) with It's Applications

The book "Artificial Intelligence (AI) with It's Applications" provides a comprehensive insight into the field of AI, exploring its fundamental principles, modern applications, and future potential. It serves as a valuable resource for students, researchers, and professionals looking to understand AI’s role in shaping industries and everyday life. The book begins with an introduction to Artificial Intelligence , cov…

Licence
OPEN CC-BY-4.0
Authors
Dr. Dipikaben Umakant Thakar, Mrs. PL. Natchiammai, Dr. R. J. Kavitha…
Published
2025-03-18 · Zenodo
Language
eng
Length
66700 words
Type
narrative text
Open ↗ Download Open original ↗

Correlation matrix

corrmat = data.corr()

fig = plt.figure(figsize = (12, 9))

sns.heatmap(corrmat, vmax = .8, square = True)

plt.show()

In the HeatMap we can clearly see that most of the features do not correlate to other features
but there are some features that either has a positive or a negative correlation with each
other. For example, V2 and V5 are highly negatively correlated with the feature
called Amount. We also see some correlation with V20 and Amount. This gives us a deeper
understanding of the Data available to us.

Separating the X and the Y values

Dividing the data into inputs parameters and outputs value format