From 9525d9aece8e6acb22004f26847713d7e0b958ff Mon Sep 17 00:00:00 2001 From: Dmitri Soshnikov Date: Tue, 7 Sep 2021 19:21:03 +0300 Subject: [PATCH] Fix links --- 1-Introduction/01-defining-data-science/README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/1-Introduction/01-defining-data-science/README.md b/1-Introduction/01-defining-data-science/README.md index be9bee54..df18b8b0 100644 --- a/1-Introduction/01-defining-data-science/README.md +++ b/1-Introduction/01-defining-data-science/README.md @@ -103,8 +103,8 @@ First step is to collect the data. While in many cases it can be a straightforwa Storing the data can be challenging, especially if we are talking about big data. When deciding how to store data, it makes sense to anticipate the way you would want later on to query them. There are several ways data can be stored:
Data Processing
@@ -117,7 +117,7 @@ Often to understand the data we need to visualize them. Having many different vi
Training predictive model
-Because the ultimate goal of data science is to be able to take decisions based on data, we may want to use the techniques of [Machine Learning](http://github.com/microsoft/ml-for-beginners) to build predictive model that will be able to solve our problem. +Because the ultimate goal of data science is to be able to take decisions based on data, we may want to use the techniques of Machine Learning to build predictive model that will be able to solve our problem.