Women In Big Data Intermediate Data Science class

This is an intermediate class taught by Hortonworks, intended to build on top of past Women in Big Data technical training sessions. **NOTE: Attendees need to bring their own laptops.

Parking - utilize the underground company parking

Agenda:

8.30A coffee & networking

Class will begin at 9 AM and end at 4.30 PM.

Use cases for data science on Hadoop
Machines Learn from Data – Predictive Analytics
Analyzing Data with Python (Lab Interpolating Data Points)
Machine Learning Algos – Recommenders, SVM, Naïve Bayes, Nearest Neighbor, Clustering, Regression (Labs K-Nearest Neighbor)
Apache Spark Intro (Lab – using Apache Spark)
Apache Spark Mllib (Labs – Running DS Algos on Spark, Spam Classification MLLib)

Pre-reqs: - Some python experience- Bring a laptop.