Advanced Analytics with Python and TensorFlow

Data Science is continuing to evolve and the use of common open source tools to add value is growing.

In addition, the use of programming languages like Python are becoming the basis for deep learning algorithms like TensorFlow.

This session will cover:

How to configure the Anaconda environment.
How to use Python basics such as basic math, data types, vectors, and calling functions.
How to use advanced data structures such as data frames, lists, and dictionaries.
How to do exploratory data analysis.
How to use Python to support basic statistics, correlation, and covariance.
How to use linear models such as linear regression and logistic regression.
How to use models such as decision trees, Random Forest, and K nearest neighbour.
How to use TensorFlow and Python.

Target Audience:Data Scientists, Business Analysts, Developers, Data Engineers

Prerequisites: Attendees should have a basic understanding of basic statistics, should be familiar with command line interfaces, should have Python basic programming experience

Level: Advanced