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Build a Deep Learning Python Model that forecasts CO2 levels


Build a Deep Learning Python Model that forecasts CO2 levels

From scratch, start coding in Python, until you build a fully functional Deep Learning model that forecasts CO2 levels.

Udemy Coupon Codes

What is the course about:

The course teachesm from scratch, the development of a Deep Learning model that forecasts the levels of CO2 emissions in India, UK, USA, European Union, China, South Africa; the code is in Python and is fully downloadable.

At the end of the course you will confidently feel able to build such a model from scratch, a knowledge valuable in our Climate Change and Data Science era. 

Exclusive

We are new on Udemy and to Celebrate this we are offering this online course only for $7 , along with its e-book, to the next 50 students who message us at www datasciencedatabase com. 

Who:

Dr. Spyridon is a Senior Research Scientist and is leading a Team of Researchers working in the Data Science Database project, which includes online courses,  each of which teaches how to build from scratch to completion one specific Data Science model -  as opposed to regular online courses that teach generic knowledge/skills without any specific deliverable in the end, causing more students to have low confidence feeling they spent so much time without actually learning anything of value. 

Dr. Spyridon has a PhD from Imperial College London in Mathematical Optimization and Data Science.

You can pre-enroll in the Data Science Database project and receive notifications at www datasciencedatabase com

What you'll learn

  • Discount code: C06A9BB557CF1C9B363E
  • FIVE B O N U S !
  • Start from scratch and build a fully functional Deep Learning model that can forecast the levels of CO2 emissions. All is done in Python.
  • Whether you believe in Climate Change or not, Companies / Organisations/ Governments invest massively in ways to fight it and so such a skill is in high demand!
  • Examples of companies that need such a skill: World Bank, International Energy Agency, McKinsey Energy Insights, United Nations, JP Morgan Green Economy Team.
  • Most online courses teach you skills, which in the end you are not sure how to put together and build something that works.
  • But this course will teach you skills which are used to build the model. You know exactly what to use them for.
  • You will learn and debunk all the fancy terms: Deep Learning, Neural Networks, Training a Model, Overfitting, Sensitivity Analysis, Errors, etc.
  • If you have experience in Machine Learning then that's good. But this course is great for the absolute beginners. Literally, from Zero to Hero.
  • All the code is downloadable.
  • If you have questions please avoid sending them here as we are busy working Academics. Rather, please send them on www datasciencedatabase com .
  • Do you remember the last time you bought a course, only to find out after a while that you got stuck and the instructor was not helping you move on?
  • We will answer your questions by creating new videos that address them. So rest assured that you will have all your questions answered and you won't get stuck.

Requirements

There are no prerequisites because we build all the necessary knowledge from scratch.

Who this course is for:

This course is a great match if you want to work as a Data Scientist in the Climate Change Economy
This course is a great match if you want to pursue a PhD in Data Science with application to Climate Change
This course is a great match if you want to work as a Machine Learning Engineer for Climate Change - related applications
This course is a great match if you want to create your own startup with a focus on the Environment

The Instructor has a PhD from Imperial College London in Mathematical Optimization and Data Science. He has led multiple projects between Industry and Academia. He is currently a Senior Research Scientist and is leading the  Data Science Database project, which is a large database of Data Science models, including Machine Learning, Mathematical Optimization (Operations Research) real-world problems.

 Start from scratch and build a fully functional Deep Learning model that can forecast the levels of CO2 emissions. All is done in Python.

TensorFlow 2.0 is a library that provides a comprehensive ecosystem of tools for developers, researchers, and organizations who want to build scalable Machine Learning and Deep Learning applications

What is TensorFlow? The rise of Artificial Intelligence (AI) and deep learning has propelled the growth of TensorFlow, an open-source AI library that allows for data flow graphs to build models.

TensorFlow.js is a library for machine learning in JavaScript. Develop ML models in JavaScript, and use ML directly in the browser or in Node.js. Tutorials show you how to use TensorFlow.js with complete, end-to-end examples.

TensorFlow is a framework created by Google for creating Deep Learning models. Deep Learning is a category of machine learning models (=algorithms) that use multi-layer neural networks. Machine Learning has enabled us to build complex applications with great accuracy.

 

Online Course CoupoNED based Analytics Education Company and aims at Bringing Together the analytics companies and interested Learners.