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Description of  NumPy : From Basic to Advance: for machine learning

we have dicussed about all these topics in the book from basic to advance give it a try and for any query contact - markzuker827@gmail.com 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 Plotting a Distplot Plotting a Distplot 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. Distplots Import Matplotlib 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