Description

Wim Hof Method Fundamentals Video Course (2019)

WEBRip | English | MP4 + PDF Guides | 1920 x 1080 | AVC ~4432 Kbps | 23.976 fpsAAC | 256 Kbps | 48.0 KHz | 2 channels | 13:00:39 | 19.14 GBGenre: eLearning Video / Health, Self Improvement
The ICEMANS Secret Method to Control your Physiology for: Strength, Immunity, and Power An Ice Cold Revolution It is the dead of winter. Most people are warm and dry in the comforts of their homes – but there is one interesting human that isnt. Instead, he is half naked, cutting through the ice so he can jump in the frigid water. Whats even crazier is that he smiles as he does this, knowing that his his polar plunge will be wonderful and peaceful.
Wim Hof Method Fundamentals Video Course (2019)

If you already have experience with Deep Learning, you will find this course refreshing, inspiring and very practical. Inside Deep Learning A-Z™ you will master some of the most cutting-edge Deep Learning algorithms and techniques (some of which didn’t even exist a year ago) and through this course you will gain an immense amount of valuable hands-on experience with real-world business challenges. Plus, inside you will find inspiration to explore new Deep Learning skills and applications.

Mastering Deep Learning is not just about knowing the intuition and tools, it’s also about being able to apply these models to real-world scenarios and derive actual measurable results for the business or project. That’s why in this course we are introducing six exciting challenges:

#1 Churn Modelling Problem

In this part you will be solving a data analytics challenge for a bank. You will be given a dataset with a large sample of the bank’s customers. To make this dataset, the bank gathered information such as customer id, credit score, gender, age, tenure, balance, if the customer is active, has a credit card, etc. During a period of 6 months, the bank observed if these customers left or stayed in the bank.

Your goal is to make an Artificial Neural Network that can predict, based on geo-demographical and transactional information given above, if any individual customer will leave the bank or stay (customer churn). Besides, you are asked to rank all the customers of the bank, based on their probability of leaving. To do that, you will need to use the right Deep Learning model, one that is based on a probabilistic approach.