Machine Learning for Predictive Maps in Python and Leaflet from Udemy

Welcome to the Machine Learning for Predictive Maps in Python and Leaflet course.

In this course we will be building a earthquake forecasting map application,

by using a variety of independent tools and then integrate them to produce a full stack web gis application.

We will be writing code in multiple programming languages, which gives us experience

with different stacks of an application and different tools.

We will be covering various topics ranging from web gis, python programming, data analysis,

machine learning and geo data visualization. All of our development will be done on windows 10.

You will learn how to build a full stack web gis application
You will learn how to build predictive models
You will learn how to build a prediction engine that's embedded in the application
You will learn how to build and automate a machine learning pipeline
You will learn how to use multiple basesmaps and layers
You will learn programming in leaflet.js
You will learn how to create REST API endpoints and call them with Ajax and JQUERY
You will learn how to use the Django template engine to pass data from the back-end to the front-end of the application
You will learn how to integrate a PostgreSQL database with Django
You will also learn how to visualize data on a map

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops foundational programming skills in Python, a widely used tool in data science and machine learning

Covers advanced machine learning techniques for predictive modeling, a valuable skill in various industries

Provides hands-on experience in building a full-stack web GIS application, simulating a real-world development scenario

Emphasizes data visualization on a map, a skill essential for spatial data analysis and presentation

Incorporates a diverse range of programming languages and tools, expanding learners' technical stack

Requires some prior knowledge in web GIS, Python programming, and data analysis

Uses Windows 10 as the development platform, potentially limiting accessibility for learners using other operating systems

Assumes familiarity with Leaflet.js and REST API endpoints, which may require additional learning for some learners

Reviews summary

Machine learning for predictive maps in python and leaflet

learners say this course is largely positive with some areas that could be improved. *Engaging assignments *Difficult exams *Instructors are knowledgeable and deadlines are clear. ...according to students

This course was superb, but I would like to do it again so as to assimilate all that I have learned. Thank you so much for preparing this course Sal which was worth every dollar. Josceleyne

"This course was superb"

Excellent course! Engaging and riveting to the last word. Bite sizes small enough to take in between work breaks and yet have a meaningful learning experience! Great Job! Highly recommended!

"Excellent course!"

"Engaging and riveting to the last word."

I loved all of Mark's courses but this one is really one of my TOPS! Everything is so well explained , every details ! Thank you Mark for all the knowledge I have learned from you! Keep going strong!

"I loved all of Mark's courses but this one is really one of my TOPS!"

"Everything is so well explained , every details !"

This knowledge is really good to know. Thank you and I like us. Basic information about gemification was demonstrated very well and I believe that book and advanced course will be valuable.

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Machine Learning for Predictive Maps in Python and Leaflet with these activities:

Refresher of Python

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Review the fundamentals of Python to ensure a solid foundation for the course material.

Browse courses on Python

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Go through Python tutorial
Solve easy coding problems on LeetCode or similar platforms

Data Cleaning and Preprocessing Review

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Review fundamental data cleaning and preprocessing techniques, ensuring a solid foundation for working with data in the course.

Browse courses on Data Cleaning

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Go through online tutorials or documentation on data cleaning and preprocessing.

Mathematical Pre-Test

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Test your foundational mathematical knowledge to identify areas where you may need to refresh your skills before beginning the course.

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Answer a series of mathematical questions covering Algebra, Calculus, and Statistics.

Five other activities

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Review Linear Algebra Book

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Strengthen your understanding of linear algebra, a key concept in machine learning.

View Linear Algebra for Everyone on Amazon

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Read selected chapters of the book.
Solve practice problems to test your comprehension.

Python Coding Exercises

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Sharpen your Python programming skills through practice drills, improving your ability to apply concepts covered in the course.

Browse courses on Python

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Solve coding challenges related to data manipulation, machine learning algorithms, and visualization.

Leaflet.js Tutorial

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Follow guided tutorials to enhance your skills in using Leaflet.js for interactive mapping.

Browse courses on Mapping

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Go through a series of tutorials on Leaflet.js documentation.
Build a simple interactive map using Leaflet.js.

Weekly Study Group

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Engage in regular study sessions with peers to discuss course concepts, ask questions, and collaborate on projects.

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Meet with a study group on a weekly basis.
Discuss course materials, work on assignments together, and prepare for exams.

Earthquake Prediction Model

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Develop a machine learning model to predict earthquake occurrences, solidifying your understanding of the course material.

Browse courses on Machine Learning

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Collect and prepare earthquake data.
Train a machine learning model to predict earthquake occurrences.
Evaluate the performance of the model.

Career center

Learners who complete Machine Learning for Predictive Maps in Python and Leaflet will develop knowledge and skills that may be useful to these careers:

GIS Analyst

A GIS Analyst is a professional who uses geographic information systems (GIS) to analyze and visualize data. GIS Analysts use GIS software to create maps, charts, and other visualizations that help people understand spatial data. This course can help you become a GIS Analyst by teaching you the basics of GIS, including how to use GIS software to create maps and analyze data. The course also covers topics such as data analysis, machine learning, and web GIS, which are all important skills for GIS Analysts.

See salaries and explore the career path for GIS Analyst

Machine Learning Engineer

A Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models. Machine Learning Engineers use a variety of tools and techniques, including Python programming and Django, to build and deploy machine learning models. This course can help you become a Machine Learning Engineer by teaching you the basics of machine learning, data analysis, and web GIS. The course also covers topics such as Python programming and Django, which are both popular tools for Machine Learning Engineers.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

A Data Scientist is a professional who uses data to solve problems. Data Scientists use a variety of tools and techniques, including machine learning, to analyze data and identify patterns. This course can help you become a Data Scientist by teaching you the basics of machine learning, data analysis, and web GIS. The course also covers topics such as Python programming and Django, which are both popular tools for Data Scientists.

See salaries and explore the career path for Data Scientist

Statistician

A Statistician is a professional who collects and analyzes data. Statisticians use a variety of tools and techniques, including machine learning, to analyze data and identify patterns. This course can help you become a Statistician by teaching you the basics of machine learning, data analysis, and web GIS. The course also covers topics such as Python programming and Django, which are both popular tools for Statisticians.

See salaries and explore the career path for Statistician

Data Analyst

A Data Analyst is a professional who analyzes data to identify patterns and trends. Data Analysts use a variety of tools and techniques, including machine learning, to analyze data and identify patterns. This course can help you become a Data Analyst by teaching you the basics of machine learning, data analysis, and web GIS. The course also covers topics such as Python programming and Django, which are both popular tools for Data Analysts.

See salaries and explore the career path for Data Analyst

Web Developer

A Web Developer is a professional who designs, builds, and maintains websites. Web Developers use a variety of tools and techniques, including HTML, CSS, and JavaScript, to build and maintain websites. This course can help you become a Web Developer by teaching you the basics of web development, including how to use HTML, CSS, and JavaScript to build websites. The course also covers topics such as Python programming and Django, which are both popular tools for Web Developers.

See salaries and explore the career path for Web Developer

Geospatial Analyst

A Geospatial Analyst is a professional who uses geospatial data to solve problems. Geospatial Analysts use a variety of tools and techniques, including GIS software and machine learning, to analyze geospatial data and identify patterns. This course can help you become a Geospatial Analyst by teaching you the basics of GIS, machine learning, and web GIS. The course also covers topics such as Python programming and Django, which are both popular tools for Geospatial Analysts.

See salaries and explore the career path for Geospatial Analyst

Environmental Scientist

An Environmental Scientist is a professional who studies the environment. Environmental Scientists use a variety of tools and techniques, including GIS software and machine learning, to study the environment. This course can help you become an Environmental Scientist by teaching you the basics of GIS, machine learning, and web GIS. The course also covers topics such as Python programming and Django, which are both popular tools for Environmental Scientists.

See salaries and explore the career path for Environmental Scientist

Urban Planner

An Urban Planner is a professional who designs and plans cities. Urban Planners use a variety of tools and techniques, including GIS software and machine learning, to analyze data and identify patterns. This course can help you become an Urban Planner by teaching you the basics of GIS, machine learning, and web GIS. The course also covers topics such as Python programming and Django, which are both popular tools for Urban Planners.

See salaries and explore the career path for Urban Planner

Cartographer

A Cartographer is a professional who creates maps. Cartographers use a variety of tools and techniques, including GIS software and machine learning, to create maps. This course can help you become a Cartographer by teaching you the basics of GIS, machine learning, and web GIS. The course also covers topics such as Python programming and Django, which are both popular tools for Cartographers.

See salaries and explore the career path for Cartographer

Geographer

A Geographer is a professional who studies the Earth's surface. Geographers use a variety of tools and techniques, including GIS software and machine learning, to study the Earth's surface. This course can help you become a Geographer by teaching you the basics of GIS, machine learning, and web GIS. The course also covers topics such as Python programming and Django, which are both popular tools for Geographers.

See salaries and explore the career path for Geographer

Database Administrator

A Database Administrator is a professional who designs, builds, and maintains databases. Database Administrators use a variety of tools and techniques, including Python programming and Django, to design, build, and maintain databases. This course can help you become a Database Administrator by teaching you the basics of Python programming and Django. The course also covers topics such as machine learning and web GIS, which are both becoming increasingly important in database management.

See salaries and explore the career path for Database Administrator

Business Analyst

A Business Analyst is a professional who analyzes business data to identify opportunities and risks. Business Analysts use a variety of tools and techniques, including machine learning, to analyze business data and identify opportunities and risks. This course can help you become a Business Analyst by teaching you the basics of machine learning, data analysis, and web GIS. The course also covers topics such as Python programming and Django, which are both popular tools for Business Analysts.

See salaries and explore the career path for Business Analyst

Software Engineer

A Software Engineer is a professional who designs, builds, and maintains software. Software Engineers use a variety of tools and techniques, including Python programming and Django, to design, build, and maintain software. This course can help you become a Software Engineer by teaching you the basics of Python programming and Django. The course also covers topics such as machine learning and web GIS, which are both becoming increasingly important in software development.

See salaries and explore the career path for Software Engineer

Project Manager

A Project Manager is a professional who plans, organizes, and manages projects. Project Managers use a variety of tools and techniques, including Python programming and Django, to plan, organize, and manage projects. This course can help you become a Project Manager by teaching you the basics of Python programming and Django. The course also covers topics such as machine learning and web GIS, which are both becoming increasingly important in project management.

See salaries and explore the career path for Project Manager

Machine Learning for Predictive Maps in Python and Leaflet

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Machine learning for predictive maps in python and leaflet

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