Home Courses Netflix Movie recommendation system Exercise: Perform EDA on Haberman dataset

Exercise: Perform EDA on Haberman dataset

Instructor: Applied AI Course Duration: 4 mins

CLick here to download IPYTHON notes for this chapter EDA

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Multivariate Probability Density, Contour Plot
Why learn it ?

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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
Tuples part-1

10 min
4.1
Why learn it ?

4 min
4.2
Introduction to Vectors(2-D, 3-D, n-D), Row Vector and Column Vector

14 min
4.3
Dot Product and Angle between 2 Vectors

14 min
4.4
Projection and Unit Vector

5 min
4.5
Equation of a line (2-D), Plane(3-D) and Hyperplane (n-D), Plane Passing through origin, Normal to a Plane

23 min
4.6
Distance of a point from a Plane/Hyperplane, Half-Spaces

10 min
4.7
Equation of a Circle (2-D), Sphere (3-D) and Hypersphere (n-D)

7 min
4.8
Equation of an Ellipse (2-D), Ellipsoid (3-D) and Hyperellipsoid (n-D)

6 min
4.9
Square ,Rectangle

3 min
5.1
Geometric intuition

13 min