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Regression	Two-class Classification	Multi-class Classification	Clustering	Anomaly Detection	Dimensionality Reduction
Linear Regression1, 2	Logistic Regression1, 2	Logistic Regression1, 2	Gaussian mixture model1	PCA-based Anomaly Detection[1](https://docs.microsof

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1. Introduction and Installation

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• VirtualBox, is free, available on every major platform, and built-in to Vagrant. Vagrant can work with many other providers.

• Some operating system distributions include a vagrant package in their upstream package repos. Please do not install Vagrant in this manner.

Verify installation -

vagrant

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Managing environments

With conda, you can create, export, list, remove, and update environments that have different versions of Python and/or packages installed in them. Switching or moving between environments is called activating the environment. You can even share an environment file with a coworker.

Anytime you wish to see the full documentation for any command, type the command followed by --help. For example, to learn about the conda environment command:

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from numpy import exp, array, random, dot


class NeuralNetwork():
    def __init__(self):
        # Seed the random number generator, so it generates the same numbers
        # every time the program runs.
        random.seed(1)

        # We model a single neuron, with 3 input connections and 1 output connection.

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Configure and Manage Your Environment with Anaconda

Per the Anaconda docs:

Conda is an open source package management system and environment management system for installing multiple versions of software packages and their dependencies and switching easily between them. It works on Linux, OS X and Windows, and was created for Python programs but can package and distribute any software.

Overview

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class Pizza:
    def __init__(self, toppings):
        self.toppings = toppings
        self._pineapple_allowed = False

    @property
    def pineapple_allowed(self):
        return self._pineapple_allowed

    @pineapple_allowed.setter