The confusion matrix we imported is a table that is often used to evaluate the performance of a machine learning algorithm. The matrix comprises four quadrants, each representing the predicted and ...

PB8_python_vs_r.ipynb. Python vs. R: Compare Python and R, two popular languages for data analysis. If you are coming from an R programming background, you should definitely have a look at this ...

# Matrix multiplications are a key building block of most modern high-performance computing systems. # They are notoriously hard to optimize, hence their implementation is generally done by # hardware ...

Using NumPy for array and matrix math in Python. Many mathematical operations, especially in machine learning or data science, involve working with matrixes, or lists of numbers.

In Python, we can use either the manual approach (create a matrix of dummy variables ourselves) or the automatic approach (let the algorithm sort it out behind the scenes). I am partial to the manual ...