Video Training →Build a Deep Learning Python Model that forecasts CO2 levels – Free Download

Free Download What you'll learn
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 & 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 & you won't get stuck.
Requirements
There are no prerequisites because we build all the necessary knowledge from scratch.
Description
What is the course аbout:The course teaches from scratch the development of a Deep Learning model that forecasts the levels of CO2 emissions; the code is in Python and is fully downloadable.Forecasts are made for India, China, USA, UK, Brazil, European Union, South Africa, and the World-Average.The development of this model is shown in a step-by-step approach. We start by downloading the data. Then we install Python and start coding. At the end of the course you will confidently know this skill, which you can include in your CV or in your personal portfolio. Who we are:We are a Team of Academics and Researchers and are building a really large Data Science Database, which includes online courses, and each online course describes, through a series of detailed videos, how to build one specific Data Science model from scratch. So at the end of each online course you will feel confident in this skill.Why students graduate with low confidence: Most online courses nowadays teach general knowledge. Students of such courses do not know what they will be able to do with the knowledge and skills they learn. That is why most students have low confidence after graduation and feel they did not learn anything of value. On the other hand, each of our courses teaches you how to start from scratch and build one specific model. And you will learn everything that you will need to accomplish this.
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
Homepage

https://www.udemy.com/course/deeplearning-co2/