NumPy From Basic to Advance for machine learning

Free Download Karan Singh bisht, "NumPy : From Basic to Advance: for machine learning"
English |ASIN : B09V2WRY7T | 2022 | 200 pages | PDF | 901 KB
we have dicussed about all these topics in the book from basic to advance

give it a try and for any query contact – [email protected]
Access 2-D Arrays
Access 3-D Arrays
Negative Indexing
NumPy Array Slicing
Slicing arrays
Slicing 2-D Arrays
NumPy Data Types
Data Types in Python
Data Types in NumPy
Checking the Data Type of an
Learning by Examples
NumPy Introduction
Dimensions in Arrays
0-D Arrays
1-D Arrays
2-D Arrays
3-D arrays
Data Types
Iterating With Different Step Size
Enumerated Iteration Using
Stacking Along Height (depth)
NumPy Splitting Array
Splitting NumPy Arrays
Split Into Arrays
Splitting 2-D Arrays
NumPy Searching Arrays
Sorting a 2-D Array
NumPy Filter Array
Filtering Arrays
Can we make truly random
numbers?
Generate Random Number
Generate Random Float
Generate Random Array
Generate Random Number From
Array
Random Data Distribution
What is Data Distribution?
Random Distribution
Random Permutations
Random Permutations of
Elements
Shuffling Arrays
Seaborn
Visualize Distributions With
Seaborn
Searching Arrays
Search Sorted
Search From the Right Side
Multiple Values
NumPy Sorting Arrays
Descriptionting a DistDescription
Descriptionting a DistDescription Without the
Histogram
Normal (Gaussian) Distribution
Normal Distribution
Visualization of Normal
Distribution
Binomial Distribution
Binomial Distribution is a
Discrete Distribution.
Visualization of Binomial
Distribution
Result
Difference Between Normal and
Binomial Distribution
Poisson Distribution
Poisson Distribution
Visualization of Poisson
Distribution
Difference Between Normal and
Poisson Distribution
Difference Between Poisson and
Binomial Distribution
Uniform Distribution
Uniform Distribution
Visualization of Uniform
Distribution
Logistic Distribution
Logistic Distribution
Difference Between Logistic and
Normal Distribution
Multinomial Distribution
Multinomial Distribution
Exponential Distribution
Visualization of Exponential
Distribution
Install Seaborn.
DistDescriptions
Import MatDescriptionlib
Import Seaborn
Array siblings: chararray,
maskedarray, matrix
chararray: vectorized string
operations
masked_array missing data
Key and Imports
Importing/exporting
Creating Arrays
Inspecting Properties
Copying/sorting/reshaping
Adding/removing Elements
Combining/splitting
Indexing/slicing/subsetting
Scalar Math
Vector Math
Statistics
Angles of Each Value in Arrays
NumPy Set Operations
What is a Set
Create Sets in NumPy
Finding Union
Finding Intersection
Finding Difference
Finding Symmetric Difference
Advanced NumPy
Life of ndarray
Block of memory
Re-interpretation / viewing
Indexing scheme: strides
C and Fortran order
Broadcasting
More tricks: diagonals
CPU cache effects
Findings in dissection
Universal functions
Result
Relation Between Poisson and
Exponential Distribution
Chi Square Distribution
Visualization of Chi Square
Distribution
Rayleigh Distribution
Visualization of Rayleigh
Distribution
Similarity Between Rayleigh and
Chi Square Distribution
Pareto Distribution
Pareto Distribution
Visualization of Pareto
Distribution
Zipf Distribution
Visualization of Zipf Distribution
NumPy ufuncs
What are ufuncs?
Why use ufuncs?
What is Vectorization?
Add the Elements of Two Lists
Create Your Own ufunc
How To Create Your Own ufunc
Check if a Function is a ufunc
Read more

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