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Summarizing Plots, Univariate, Bivariate and Multivariate analysis
Summarizing Plots, Univariate, Bivariate and Multivariate analysis
Instructor:
Applied AI Course
Duration:
6 mins
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Violin Plots
Multivariate Probability Density, Contour Plot
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Python for Data Science Introduction
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
Plotting for exploratory data analysis (EDA)
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
Linear Algebra
3.1
Why learn it ?
4 min
3.2
Introduction to Vectors(2-D, 3-D, n-D)
14 min
3.3
Dot Product and Angle between 2 Vectors,Row Vector,Column Vector
14 min
3.4
Projection and Unit Vector
5 min
3.5
Equation of a line (2-D), Plane(3-D) and Hyperplane (n-D) - Copy
23 min
3.6
Equation of a Circle (2-D), Sphere (3-D) and Hypersphere (n-D)
7 min
3.7
Equation of an Ellipse (2-D), Ellipsoid (3-D) and Hyperellipsoid (n-D)
6 min
3.8
Square, Rectangle
6 min
3.9
Hyper-cube and Hyper-cuboid
3 min
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