EBISYS R&D
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
Instructor Details
Courses : 12717
Specification: Spatial Data Visualization and Machine Learning in Python
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3 reviews for Spatial Data Visualization and Machine Learning in Python
Add a review
| Price | $9.99 |
|---|---|
| Provider | |
| Duration | 4.5 hours |
| Year | 2020 |
| Level | All |
| Language | English ... |
| Certificate | Yes |
| Quizzes | No |
$9.99
Suryapraveen Praveen –
I have learned a lot good explanation
Jonathan Hersh –
Very nice self contained exercise and code is mostly understandable. Supposedly a link to the code is emailed to the students but I never received it. I couldn’t get all of the exercises to work. Rather frustrating at times to be honest. It would be nice to get some higher level understanding of what we’re doing. It’s just a slow walk through some code, which is nice, but missing some higher level understanding.
Jovanni Jabat –
Great course.