Hands-On Predictive Analytics with TensorFlow 2.0 [Video]
Hands-On Predictive Analytics with TensorFlow 2.0 [Video]
English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 2h 40m | 461 MB
eLearning | Skill level: All Levels
Hands-On Predictive Analytics with TensorFlow 2.0 [Video]: Discover hidden patterns from structured and unstructured data with predictive analytics
Predictive analytics is a booming topic and is an applied field that employs a variety of quantitative methods using data to make predictions. Every company has data and needs prediction capabilities so that it can prepare well for the future. TensorFlow is an open source library for dataflow programming across a range of tasks.
Before you jump into a “Alexa” or a “Google Lens” or a “Virtual assistant”, you need to learn the fundamentals. This course will allow you to think with a broader perspective and start with small chunks of code.
In this course, you’ll understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we’ll build predictive analytics solutions using cutting-edge algorithms and TensorFlow. You’ll work with models such as KNN, Random Forests, and neural networks using the TensorFlow library.
- Get to know the basics of Tensorflow 2.0 to make your base strong and start implementation
- Understand the importance of predictive analysis
- Start thinking about how a machine can predict your behavior
- Design your own predicting bot that will actually understand you
By the end of the course, you’ll be all set to build high-performance predictive analytics solutions using Python and TensorFlow.