Women In Big Data Intermediate Data Science class


Details
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.

Women In Big Data Intermediate Data Science class