This notebook is use to analyze airbnb data based on the Inside Airbnb project by Murray Cox.

Analysis of over 20,000 unique tweets from march madness 2018 trending hashtags (#SisterJean, #loyolachicago) as well as Loyola Chicago mens team official basketball account @RamblerMBB from March 02 until April 04.

Task 1: Quantitative Analysis Task 2: Qualitative Analysis Task 3: Standardized Z-Value

The google search data on this notebook comes from a google account archive. Steps outlined here to collect and analyze the data may change at any time

PortfolioEffect workshop developed by Stephanie Toper, Senior Quantitative Developer at PortfolioEffect. Tags: Intraday risk, portfolio strategy, backtesting, optimization, volatility forecasting.

This Rnotebook covers part of the material in chapter 4 of "An Introduction to Statistical Learning with Applications in R" by James, Witten, Hastie and Tibshirani (ISLR). We are going to work on sections 4.6.3 (Linear Discriminant Analysis) and section 4.6.4 (Quadratic Discriminant Analysis).

R + CoreNLP Server