This plan includes
- Limitedfree coursesaccess
- Play & PauseCourse Videos
- VideoRecorded Lectures
- Learn onMobile/PC/Tablet
- Quizzes andReal Projects
- Lifetime CourseCertificate
- Email & ChatSupport
What you'll learn?
- Data Visualization
- Data Analysis
- Data Transformation and Manipulation
- Python and Bokeh
- Geospatial Machine Learning
- Geo Mapping
- Python Programming
- Creating Dashboards
Course Overview
Welcome to the 'Spatial Data Visualization and Machine Learning in Python' course. In this course we will be building a spatial data analytics dashboard using bokeh and python. Bokeh is a very powerful data visualization library that is used for building a wide range of interactive plots and dashboards using the python programming language. It also converts python code into html and JavaScript code, which allows plots to be hosted on servers and displayed in web browsers. We be building a predictive model that we will use to do a further analysis, on our data and plot it's forecast results alongside the dataset that we will be focusing on. We will be visualizing our data in a variety of bokeh charts, which we will explore in depth. Once we understand each plot in depth, we will be equipped with the knowledge to build a dashboard that we will use to analyze our data. And once we have built our dashboard, we will then create a lightweight server that we will use to serve our dashboard and make it accessible via a URL. You will learn how to visualize spatial data in maps and charts You will learn data analysis using jupyter notebook You will learn how to manipulate, clean and transform data You will learn how to use the Bokeh library You will learn machine learning with geospatial data You will learn basic geo mapping You will learn how to create dashboards
Pre-requisites
- Basic Understanding of Python
- Little or no understanding of GIS
- Basic understanding of Programming concepts
- Basic understanding of Data
- Basic understanding of what Machine Learning is
Target Audience
- Python Developers at any level
- GIS Developers at any level
- Developers at any level
- Machine Learning engineers at any level
- The curious mind
Curriculum 21 Lectures 00:04:21
Section 1 : Introduction
Section 2 : Setup and Installation
- Lecture 1 :
- Python Installation
- Lecture 2 :
- Installing Bokeh
Section 3 : Data Preparation
- Lecture 1 :
- Data Preparation
Section 4 : Data Visualization
- Lecture 1 :
- Creating a Bar Chart
- Lecture 2 :
- Creating a Line Chart
- Lecture 3 :
- Creating a Doughnut Chart
- Lecture 4 :
- Creating a Magnitude Plot
- Lecture 5 :
- Creating a Geo Map Plot
- Lecture 6 :
- Creating a Grid Plot
Section 5 : Machine Learning
- Lecture 1 :
- Data Pre-processing
- Lecture 2 :
- Building a Predictive Model
- Lecture 3 :
- Building a Prediction Dataset
Section 6 : Building the Dashboard
- Lecture 1 :
- Adding predicted data to our plots - Part 1
- Lecture 2 :
- Adding predicted data to our plots - Part 2
- Lecture 3 :
- Adding predicted data to our plots - Part 3
- Lecture 4 :
- Adding the Grid Plot
Section 7 : Creating the Dashboard Server
- Lecture 1 :
- Installing Visual Studio Code
- Lecture 2 :
- Creating the Project and Virtual Environment
- Lecture 3 :
- Building and Running the Server
Section 8 : Project Source Code
- Lecture 1 :
- Source Code and Notebook
Our learners work at
Frequently Asked Questions
How do i access the course after purchase?
It's simple. When you sign up, you'll immediately have unlimited viewing of thousands of expert courses, paths to guide your learning, tools to measure your skills and hands-on resources like exercise files. There’s no limit on what you can learn and you can cancel at any time.Are these video based online self-learning courses?
Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic.Can i play & pause the course as per my convenience?
Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on.How do i contact the instructor for any doubts or questions?
Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want.Do i need a pc to access the course or can i do it on mobile & tablet as well?
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