Kick-Start Your Understanding of Machine Learning with Python

Discover how to rapidly develop Machine Learning applications using Python in this 30-minute conference talk from ML Con 2018 Spring. Explore two key examples: unsupervised and supervised learning for text classification. Learn to build a text analyzer using Python and Scikit for unsupervised learning, and understand the inner workings by visualizing intermediate data in Excel. Dive into supervised learning with Keras, a Deep Learning package that allows you to construct, train, and test complex neural networks in under 20 lines of code. Gain valuable insights from Dr. Andreas Bühlmeier of Dr. Bühlmeier Consulting as he demonstrates how to leverage Python modules to comprehend the underlying mechanisms of Machine Learning algorithms.