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Hyper-cube and Hyper-cuboid

Instructor: Applied AI Course Duration: 3 mins

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1.1
Python, Anaconda and relevant packages installations

23 min
1.2
Why learn Python?

4 min
1.3
Keywords and identifiers

6 min
1.4
comments, indentation and statements

9 min
1.5
Variables and data types in Python

32 min
1.6
Standard Input and Output

7 min
1.7
Operators

14 min
1.8
Control flow: if else

10 min
1.9
Control flow: while loop

16 min
1.10
Control flow: for loop

15 min
1.11
Control flow: break and continue

10 min
2.1
Introduction to IRIS dataset

26 min
2.2
3D scatter plot

6 min
2.3
Pair plots

14 min
2.4
Limitations of Pair Plots

2 min
2.5
Histogram and Introduction to PDF(Probability Density Function)

17 min
2.6
Univariate Analysis using PDF

6 min
2.7
Mean, Variance and Standard Deviation

17 min
2.8
Median

10 min
2.9
Percentiles and Quantiles

9 min
2.10
Box-plot with Whiskers

9 min
2.11
Violin Plots

4 min
2.12
Summarizing Plots, Univariate, Bivariate and Multivariate analysis

6 min
2.13
Multivariate Probability Density, Contour Plot

9 min
2.14
Exercise: Perform EDA on Haberman dataset

4 min