Master the Most Important Deep Learning Frameworks (Tensorflow & Keras) for Python Data Science
THIS IS A COMPLETE NEURAL NETWORKS & DEEP LEARNING TRAINING WITH TENSORFLOW & KERAS IN PYTHON!
It is a full 7-Hour Python Tensorflow & Keras Neural Network & Deep Learning Boot Camp that will help you learn basic machine learning, neural networks and deep learning using two of the most important Deep Learning frameworks- Tensorflow and Keras.
HERE IS WHY YOU SHOULD ENROLL IN THIS COURSE:
This course is your complete guide to practical machine & deep learning using the Tensorflow & Keras framework in Python..
This means, this course covers the important aspects of Keras and Tensorflow (Google's powerful Deep Learning framework) and if you take this course, you can do away with taking other courses or buying books on Python Tensorflow and Keras based data science.
In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal and advent of Tensorflow and Keras is revolutionizing Deep Learning...
By gaining proficiency in Keras and and Tensorflow, you can give your company a competitive edge and boost your career to the next level.
THISÂ ISÂ MYÂ PROMISEÂ TOÂ YOU: COMPLETEÂ THISÂ ONEÂ COURSEÂ &Â BECOMEÂ AÂ PROÂ INÂ PRACTICALÂ KERAS &Â TENSORFLOW BASEDÂ DATAÂ SCIENCE!
But first things first. My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation).
I have several years of experience in analyzing real life data from different sources  using data science related techniques and producing publications for international peer reviewed journals.
 Over the course of my research I realized almost all the Python data science courses and books out there do not account for the multidimensional nature of the topic and use data science interchangeably with machine learning..
This gives students an incomplete knowledge of the subject. My course, on the other hand, will give you a robust grounding in all aspects of data science within the Tensorflow framework.
Unlike other Python courses, we dig deep into the statistical modeling features of Tensorflow & Keras and give you a one-of-a-kind grounding in these frameworks!
DISCOVER 8 COMPLETE SECTIONS ADDRESSING EVERY ASPECT OF PYTHON BASED TENSORFLOW DATA SCIENCE:
• A full introduction to Python Data Science and powerful Python driven framework for data science, Anaconda
• Getting started with Jupyter notebooks for implementing data science techniques in Python
• A comprehensive presentation about Tensorflow & Keras installation and a brief introduction to the other Python data science packages
• Brief introduction to the working of Pandas and Numpy
• The basics of the Tensorflow syntax and graphing environment
• The basics of the Keras syntax
• Machine Learning, Supervised Learning, Unsupervised Learning in the Tensorflow & Keras frameworks
• You’ll even discover how to create artificial neural networks and deep learning structures with Tensorflow & Keras
BUT, WAIT! THIS ISN'T JUST ANY OTHER DATA SCIENCE COURSE:
You’ll start by absorbing the most valuable Python Tensorflow and Keras basics and techniques.
I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts.
My course will help you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement Python based data science in real -life.
After taking this course, you’ll easily use packages like Numpy, Pandas, and Matplotlib to work with real data in Python along with gaining fluency in Tensorflow and Keras. I will even introduce you to deep learning models such as Convolution Neural network (CNN) !!
The underlying motivation for the course is to ensure you can apply Python based data science on real data into practice today, start analyzing  data for your own projects whatever your skill level, and impress your potential employers with actual examples of your data science abilities.
This course will take students without a prior Python and/or statistics background background from a basic level to performing some of the most common advanced data science techniques using the powerful Python based Jupyter notebooks
It is a practical, hands-on course, i.e. we will spend some time dealing with some of the theoretical concepts related to data science. However, majority of the course will focus on implementing different  techniques on real data and interpret the results..
After each video you will learn a new concept or technique which you may apply to your own projects!
JOIN THE COURSE NOW!
Harness The Power Of Anaconda/iPython For Practical Data Science
Learn How To Install & Use Tensorflow Within Anaconda
Implement Statistical & Machine Learning With Tensorflow
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I completed a PhD (University of Cambridge, UK) in 2017 where I focussed on implementing data science techniques for quantifying the impact of forest loss on tropical ecosystems. I hold an MPhil (School of Geography and Environment) and an MSc (Department of Engineering) from Oxford University. I have more than 10 year's experience in conducting academic research (published in high...
I appreciate how the instructor takes us step-by-step through each stage of completing a machine learning project.
I thoroughly enjoyed the course! The explanations of deep learning concepts were incredibly clear and accessible, which made it easy for someone like me, just starting from the basics, to understand and follow along.
Comprehensive guide to mastering TensorFlow. All the tools and insights you need for success.
The instructors are incredibly knowledgeable, and the material is both engaging and practical.
The instructors are highly skilled and well-prepared, making the learning process smooth and engaging.
The instructor is highly skilled and provides valuable tips throughout, making it easy to grasp the material.
I thoroughly enjoyed the course! The explanations of deep learning concepts were incredibly clear and accessible, which made it easy for someone like me, just starting from the basics, to understand and follow along.
I highly recommend it to anyone eager to dive into the world of data science and machine learning.
It was a course that explained enough what I was wondering. Especially the complex and interconnected sections are handled very fluently and clearly.
Even people with no machine learning experience can master tensorflow and deep learning.
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Sakib I.
Excellent presentation, very well-crafted and engaging. The content was both informative and captivating, keeping the audience involved throughout.