From f3cdba01daa85428038607ddcc012c06fb6f6952 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nu=C3=B1o=20Sempere?= Date: Sat, 12 Oct 2019 20:02:42 +0200 Subject: [PATCH] Update readme.md --- maths-prog/MachineLearningDemystified/readme.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/maths-prog/MachineLearningDemystified/readme.md b/maths-prog/MachineLearningDemystified/readme.md index 609a349..f2b4ad9 100644 --- a/maths-prog/MachineLearningDemystified/readme.md +++ b/maths-prog/MachineLearningDemystified/readme.md @@ -1,6 +1,6 @@ # Machine Learning Demystified -Several friends encouraged me to apply to a Data Scientist position at ID Insights, an organization I greatly admire, and for a position which I would be passionate about. I decided to apply. Beforehand, I familiarized myself throrougly with numpy, pandas and sklearn, three of the most important libraries for machine learning in Python. +Several friends encouraged me to apply to a Data Scientist position at ID Insights, an organization I greatly admire, and for a position which I would be passionate about. Before doing so, I familiarized myself throrougly with numpy, pandas and sklearn, three of the most important libraries for machine learning in Python. I used a dataset from Kaggle: [Health Care Cost Analysis](https://www.kaggle.com/flagma/health-care-cost-analysys-prediction-python/data), referenced as "insurance.csv" thoughout the code. The reader will also have to change the variable "directory" to fit their needs.