From 9b6f909e89883c6b7d3f9301a9672b5b4247037f Mon Sep 17 00:00:00 2001 From: Peter Newell Date: Tue, 22 May 2018 20:22:25 +0800 Subject: [PATCH] Update README.md --- README.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/README.md b/README.md index 2ff3058..ea3024a 100644 --- a/README.md +++ b/README.md @@ -31,12 +31,11 @@ Linear regression models are natural candidates for time series analysis. Using *Ridge* -![Ridge png](/graphs/Ridge 0.80991178871757.png) +![Ridge png](/graphs/Ridge 0.8099881178871757.png) *LinearRegression* ![LinearRegression png](/graphs/LinearRegression 0.8099495670315746.png) - The Autoregressive Integrated Moving Average (ARIMA) is not exactly a machine learning algorithm, but a linear model used in econometric analysis that can be applied to financial markets to make predictions. A quick build of this model can also produce 78% accurate predictions on the test data. *ARIMA*