Predict Macro Economic Trends using Kaggle Financial Dataset

In this machine learning project, you will uncover the predictive value in an uncertain world by using various artificial intelligence, machine learning, advanced regression and feature transformation techniques.
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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.

Curriculum For This Mini Project

 
  Introduction & Installation
05m
  Data Set Overview
03m
  Problem Statement
01m
  Data Analysis - Missing Values
38m
  Recap
02m
  Next Steps
06m
  Why MICE
03m
  Split Data Set into Train and Test
05m
  Linear Regression - Assumptions
06m
  Linear Regression - Model Creation
03m
  Robust Linear Regression
03m
  Ridge Regression
11m
  Extreme Gradient Boosting
07m