In this course for beginners, I will teach you how to program in python. This python tutorial is lesson 1, the first of a three month course where we will cover all the basics of how to program in python for beginners. Python is a great language and enables you to do data science, computer vision, machine learning as well as many other applications. This course is free, so if you want to learn python, subscribe and take part. The link to download Anaconda is here https://www.continuum.io/downloads

and the link to the Jupyter Notebook page shown in the tutorial is here http://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/execute.html

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FOLLOW THE COURSE FROM THE BEGINNING

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This course is for beginners and the first episode can be found here:-

https://youtu.be/Aah3TmR-dHc

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NEED A BOOK ?

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I have reviewed many books on learning python, there are some great books available. Watch my review of books here:-

https://youtu.be/hsKGhqTQ5GE

I would recommend either of these two: –

Automate the Boring Stuff with Python, here’s the review https://youtu.be/aFfDDdAPCbA

I would recommend it for beginners. You can find the contents free online at https://automatetheboringstuff.com/

There is also a video course (PAID) http://bit.ly/2BTGNel

Or you can buy it at Amazon USA https://goo.gl/s4Lb7w

Amazon UK http://goo.gl/Ms3IRI (affiliate link)

Python Crash Course – Review https://youtu.be/lmDeztY9h4U

If you would like to buy the book you can do so here from Amazon UK:-

http://goo.gl/QONFUK

or here from Amazon USA

https://goo.gl/UoHYDd

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LOOKING FOR A BOOK ON MACHINE LEARNING?

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There are a few I would recommend:-

Python Machine Learning – for a hands on look at how to implement machine learning in Python. Doesn’t delve into the theory too much.

You can buy it here from Amazon USA https://goo.gl/eqDV8x

Pattern Recognition and Machine Learning is probably the best book you could buy on the subject. Challenging, but worth it.

You can buy it here from Amazon USA https://goo.gl/Mt6KcM

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LEARN MACHINE LEARNING ON UDEMY FOR $10 PER COURSE

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I have taken some of the Udemy courses on Machine Learning. They are not the same as the Udacity ones, as they don’t have marked projects – but if you’re looking for a lower cost way of learning, some of the courses are excellent. Here I link to the ones I like. Affiliate links, but I only ever link to courses that I have taken and that I would recommend.

For a basic python introduction I would recommend:-

Complete Python Bootcamp: http://bit.ly/2p4Eq3h

The Python Mega Course: http://bit.ly/2BVjtgw

For a basic introduction to Data Analysis and Visualisation:

http://bit.ly/2kTbMNe

Learn Machine Learning with Udemy Courses

I would recommend the Lazy Programmer’s courses on Udemy if you are serious about learning Machine Learning. There are some pre-requisites. Depending on your level of maths, you might not need them all.

Calculus 1: http://bit.ly/2BhoEnr

Calculus 2: http://bit.ly/2z9urcI

Calculus 3: http://bit.ly/2kSGR3H

Linear algebra 1: http://bit.ly/2BsShWQ

Linear algebra 2: http://bit.ly/2CRxZTh

Probability: http://bit.ly/2zag4F1

Machine Learning Basics

Linear Regression in Python http://bit.ly/2DlTaOf

Logistic Regression in Python http://bit.ly/2DosHzp

Deep Learning in Python http://bit.ly/2kzwJ0h

Natural Language Processing in Python http://bit.ly/2kzkNvp

Modern Deep Learning http://bit.ly/2p62ZNe

Cluster Analysis http://bit.ly/2COhGqf

Artificial Intelligence Reinforcement Learning http://bit.ly/2kTTBXJ

These tutorials are created by Giles McMullen, you can follow me on twitter – @GilesMcMullen

Thanks for doing this. BTW I’m going to use Python 3 anyway. If I run into problems I’ll revert to 2.7.

I am trying to install Anaconda at

C:UsersPublic

But it shows me:

Directory ‘C:UsersPublic’ is not empty, please choose a different location.

Then I create another folder under ‘Users’ named ‘Shawon’. When I am trying to do same procedure, it shows me:

Error opening file for writing:

C:UsersShawonpreconda.tar.bz2

Click Abort to stop the installation, Retry to try again, or Ignor to skip this file.

What I have to do now?