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Predict Macro Economic Trends using XGBoost, Linear Regression, Lasso in R

In this project, we are trying to uncover the predictive value in an uncertain world by using various artificial intelligence, machine learning, advanced regression and feature transformation techniques.
Event Date
Jan - 2017
05:30pm - 08:00pm PST
Jan - 2017
05:30pm - 08:00pm PST
What are the prerequisites for this project?
  • Jupyter Notebook from Anaconda Installation
  • R and R-Studio Installation
  • At least 5 MBS internet speed
  • At least 4 GB RAM Machine
  • This project assumes that you have a good knowledge of Data Science and the R language. If not - we recommend you to take the Data Science in R Programming course first.

What will you learn

  • Application of linear regression
  • Application of non-linear regression
  • Application of LASSO and elastic net regression
  • Application of XGBoost model
  • Interpretation of models

Project Description

Two Sigma is a technology company dedicated to finding value in the world’s data. Since its founding in 2001, Two Sigma has built an innovative platform that combines extraordinary computing power, vast amounts of information, and advanced data science to produce breakthroughs in investment management, insurance, and related fields. Economic opportunity depends on the ability to deliver singularly accurate forecasts in a world of uncertainty.

By accurately predicting financial movements, you will learn about scientifically-driven approaches to unlocking significant predictive capability.

Two Sigma is excited to find predictive value and gain a better understanding of the skills offered by the global data science crowd.



A Data Scientist with 10 + years experience into Predictive Modeling, Machine Learning and Text Mining and Sentiment Analysis in Healthcare, Retail and E-Commerce Domain. Holds a Patent as lead Inventor (current status-Pending) for developing a new algorithm to address the issues in assortment optimization and stor see more...

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