Home

#Welcome to the Coursera-Stanford-ML-Python wiki!

##Python and package installation ##Basic idle usage ##Basic Python operations ###Basic algebra in python ###Elementary arithmetic operation ###Logical operations ###Python variables ###Displaying variables ##Vectors and matrices ###Comprehensions ###Special matrix functions ##Moving data around ###size of a matrix ###Loading files in python ##Manipulating matrices ###Slicing ###Flattening ###Vector assignments ###Concatenating ####Horizontal concatenation ####Vertical concatenation ##Computing on data ###Matrix multiplication ###Element-wise operations ####Element-wise multiplication ####Element-wise squaring ####Element-wise reciprical ####Element-wise logarithms/exponents ####Element-wise addition ###Transpose of a matrix ###Maximum and minimum of matrix values ###'magic' matrix ###Logical filtering ###sum and product of all elements ###Identity matrix for selection ###Inverse and pseudo-inverse of a matrix ##Plotting data ###Plotting generated data ###Line color, labels, title and legend ###Saving a graph ###Subplots ###Axis scaling ###Creating/clearing figures ##Control statements ###For loops ###While loops ###break statement ###if-elif-else statement ##Functions ###PYTHONPATH environment variable ##Vectorization ###Vectorized implementation ###Unvectorized implementation