Packages

Let’s first import all the packages that you will need during this assignment.

Numpy

NumPy can be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

import numpy as np

Sklearn

Simple and efficient tools for data mining and data analysis. Built on NumPy, SciPy, and matplotlib.

import sklearn
import sklearn.datasets
import slkearn.linear_model

Matplotlib

Matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.

import matplotlib.pyplot as plt

Planar_utils

Python Utils is a collection of small Python functions and classes which make common patterns shorter and easier. It is by no means a complete collection but it has served me quite a bit in the past and I will keep extending it.

from planar_utils import plot_decision_boundary, sigmoid, load_planar_dataset, load_extra_datasets

testCases

testCases provides some test examples to assess the correctness of your functions. This is another py file that’s imported here.

from testCases import *