Guide Working environment Setup for Machine Learning

Free Download Guide Working environment Setup for Machine Learning
Published 8/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 35m | Size: 253 MB
A beginner’s Essential Guide: Google Colab notebook set up, basic Python skills, pandas library, data cleaning

What you’ll learn
Set up your Google Colab notebook
Read your dataset into a pandas data frame
Acquire basic Python coding skills
Navigate through your pandas data frame
Perform data cleaning
Requirements
Zero Python knowledge or skills
Description
This short course is an essential guide for those who would like to start their first Machine Learning project, but they do not know where to start from or how to start.Even if there are many Python or data science courses available for beginners, there is no course which teaches you how to set up your working environment for Machine Learning from scratch.This essential guide will teach you step by step necessary skills which, in other courses, are not taught, because it is believed that the students should already know how to open a notebook, how to use it or how to read their dataset in their notebook.Therefore, you are not required to have any basic Python skills. You are going to learn how to code in this course.This course is divided into 12 sections. By the end of this course, you will know how to:save a file in your desktopsave it on your Google Driveopen a Google Colab notebookmount your Google Drive on your Google Colab notebookimport the pandas library in your notebookread your dataset into a pandas data framenavigate through your pandas data frame by using pandas.DataFrame functionsperform data cleaning by using regular expressionsdownload and upload your Google Colab notebook as a Python notebook fileYou will also acquire basic Python knowledge: Python keywords, functions, objects, tuples, lists, regular expressions, user-defined functionsWhy choose this course?-The content is broken into bite-sized tutorials.-The content is presented with animated videos.-There are integrated Python tutorials, so you acquire Python knowledge and skills while attending the course.-There are PDFs which explain in detail the content of each section.-There is a quiz at the end of all sections which checks your knowledge and understanding.-There is an assignment to apply the skills you are going to learn in the course.Requirements1. You must have your own Google account. If not, type How do I create a new Google Account on your internet browser and take the steps to open your account.2. You must have your Google Drive open on your computer. Just type Drive Google on your internet browser and sign in with your credentials.3. In this course you will be using the Google Colab notebook, so you would need to first sign into your Google account in order to use it.Why Google Colab notebook?Google colab notebook is ideal for beginners, since Python is already installed, and thus the learner avoids the hassle of installing Python in their desktop.
Who this course is for
This course has been designed for those who come from any professional or academic background and would like to start their Machine Learning journey, but they do not know where to start from or how to start.
Homepage

https://www.udemy.com/course/guide-working-environment-setup-for-machine-learning/