Machine Learning with Google Colab – Beginners Guide

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About Course

Google Colaboratory

Google Colaboratory (also known as Colab) is a free Jupyter notebook environment that runs in the cloud and stores its notebooks on Google Drive. Colab was originally an internal Google project; an attempt was made to open source all the code and work more directly upstream, leading to the development of the “Open in Colab” Google Chrome extension, but this eventually ended, and Colab development continued internally. As of October 2019, the Colaboratory UI only allows for the creation of notebooks with Python 2 and Python 3 kernels; however, an existing notebook whose kernelspec is IR or Swift will also work, since both R and Swift are installed in the container. Julia language can also work on Colab (with e.g. Python and GPUs; Google’s tensor processing units also work with Julia on Colab

 

This course is a suitable beginner guide on supervised learning concepts and hands-on practices. It covers basic supervised learning algorithms with hands-on practices via Google colabs and python. This course is recommended for any learner who wishes to pursue a sound understanding of several of popular supervised learning algorithms. This course will be useful for students in pathways such as Information Technology, Software Engineering and Computer Science in both undergraduate and postgraduate levels.

 

Thanks to Kaneeka Vidanage. www.udemy.com

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What Will You Learn?

  • Learner will understand about basics of supervised learning

Course Content

Introduction

  • Introduction
    06:56

Why Machine Learning?

Introduction to Google Colab

Support Vector Machines

Support Vector Machines – Hands – On with Google Colab

Trees

Trees Hand on Exercise

Random Forest – Hands – On with Google Colab