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Getting started with Anaconda Notebooks
Course Overview and Learning Objectives
Why NumPy and Vectorization?
Declaring an Array
Declaring Higher Dimensional Arrays
Exercise: Declare an Array
Anaconda Assistant: Overview
Anaconda Assistant - Thomas
Indexing Arrays
Basic Math Operators
Math Functions
Aggregating Functions
Iterating Arrays
Matrix Multiplication
Exercise: Mean Calculation
Loading Data Files into NumPy
Loading Data from pandas
Loading Data from SQL
Loading an Image
Exercise:NumpPy ndarray
Slicing Arrays
Reshaping Arrays
Copying vs. Viewing Arrays
Exercise:Reshape Pixel Data
Concatenating Arrays
Stacking Arrays
Splitting Arrays
Exercise:Split and Concatenate
Searching and Filtering Arrays
Sorting Arrays
Exercise: Element Extraction
Why Use Random Data?
Generating Random Numbers
Generating Data from Probability Distributions-Normal Distribution
Generating Data from Probability Distributions-Binomial Distribution
Generating Data from Probability Distributions-Exponential Distribution
Randomly Selecting Data
Monty Hall Problem with Monte Carlo
Exercise: Write Code for a Video Game
Linear Regression with Hill Climbing
Linear Regression with scikit-learn
Customer Queue Simulation
Neural Network with scikit-learn
Exercise: Perform a Linear Regression
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