This is perhaps the most popular introductory online machine learning class. In addition to being popular, it is also one of the best Machine learning classes any interested student can take to get started with machine learning.
The Python machine learning ecosystem has grown exponentially in the past few years, and still gaining momentum. I suspect that many students who want to get started with their machine learning journey would like to start it with Python also. It is for those reasons I have decided to re-write all the programming assignments in Python, so students can get acquainted with its ecosystem from the start of their learning journey. These assignments work seamlessly with the class and do not require any of the materials published in the MATLAB assignments.
Here are some new and useful features for these sets of assignments:. To get started, you can start by either downloading a zip file of these assignments by clicking on the Clone or download button. If you have git installed on your system, you can clone this repository using :.
Each assignment is contained in a separate folder. For example, assignment 1 is contained within the folder Exercise1. Each folder contains two files: - The assignment jupyter notebook, which has a. All the code which you need to write will be written within this notebook. Functions within the utils module are called from the python notebook. You do not need to modify or add any code to this file.
We recommend using at least these versions of the required libraries or later. Python 2 is not supported. We highly recommend using anaconda for installing python.
Click here to go to Anaconda's download page. Make sure to download Python 3. If you are on a windows machine: - Open the executable after download is complete and follow instructions.
This will open a terminal with python enabled. Change the permission to the downloaded file so that it can be executed. So if the downloaded file name is Anaconda Now, run the installation script using. Once you have installed python, create a new python environment will all the requirements using the following command:. Now we have our python environment all set up, we can start working on the assignments. To do so, navigate to the directory where the assignments were installed, and launch the jupyter notebook from the terminal using the command.
This should automatically open a tab in the default browser. To start with assignment 1, open the notebook. If you are new to python and to jupyter notebooks, no worries!
There is a plethora of tutorials and documentation to get you started. Here are a few links which might be of help:. Python Programming : A turorial with videos about the basics of python.
Numpy and matplotlib tutorial : We will be using numpy extensively for matrix and vector operations. This is great tutorial to get you started with using numpy and matplotlib for plotting. Jupyter notebook : Getting started with the jupyter notebook. Active Oldest Votes. Download the full installer: Provided that you uninstall your existing Anaconda, this method will be least likely to cause upgrade problems. It will also probably be slower.
Note that I think you should uninstall the old Anaconda so that you don't end up with two conda[. You may end up trying to install a package with the wrong conda and be very confused about what's happening. This is not recommended because you will end up with package versions that are different from the ones in the Anaconda installer and you may end up with an error message about packages that are incompatible.
This package has dependencies on specific versions of all of the packages and Anaconda the company give some assurance that these will all work together.
So, updating the anaconda package will update all your packages to the version used in the latest version of the Anaconda installer. Improve this answer. PaulH The conda solver is not perfect, and when it has so many packages to try and upgrade there is more likely to be a problem. In any case, even if it doesn't install the incompatible packages, if there are incompatibilities, you would end up with an error message — darthbith.
I then tried downloading the new version but apparently it won't uninstall since the older version is still installed. I'm removing the old one now via the control panel note it is under Python anaconda not Anaconda.
Not sure why this is so complicated I actually disagree with the statement in that post But that's just my opinion :- — darthbith. Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password. Post as a guest Name. Email Required, but never shown. The Overflow Blog. Podcast Who is building clouds for the independent developer? Exploding turkeys and how not to thaw your frozen bird: Top turkey questions
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