Python and TensorFlow Data Science and Iris Speciation

Machine learning allows you to build more powerful, more accurate and more user friendly software that can better respond and adapt.Many companies are integrating machine learning or have already done so, including the biggest Google, Facebook, Netflix, and Amazon.There are many high paying machine learning jobs.Jump into this fun and exciting course to land your next interesting and high paying job with the projects you’ll build and problems you’ll learn how to solve.In just a matter of hours you'll have new skills with projects to back them up:  Deep dive into machine learning Problems that machine learning solves Types of machine learning Common machine learning structures Steps to building a machine learning model Build a linear regression machine learning model with TensorFlow Test and train the model Python variables and operators Collection types Conditionals and loops Functions Classes and objects Install and import Num PyBuild Num Py arrays Multidimensional Num Py arrays Array indexes and properties Num Py functions Num Py operations And much more!Add new skills to your resume in this project based course: Graph data with Py Plot Customize graphs Build 3D graphs with Py Plot Use TensorFlow to build a program to categorize irises into different species.Build a classification model Track data Implement logic Implement responsiveness Build data structures Replace Python lists with Num Py arrays Build and use Num Py arrays Use common array