From 04d4e7a379cf9a9e5661ceb3ba96fdc34dd30e60 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nu=C3=B1o=20Sempere?= Date: Wed, 9 Oct 2019 20:58:29 +0200 Subject: [PATCH] Update readme.md --- maths-prog/MachineLearningDemystified/readme.md | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/maths-prog/MachineLearningDemystified/readme.md b/maths-prog/MachineLearningDemystified/readme.md index 0973b93..979973c 100644 --- a/maths-prog/MachineLearningDemystified/readme.md +++ b/maths-prog/MachineLearningDemystified/readme.md @@ -1,8 +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. - -Unfortunately, they require Python, and I'm most proficient with R. I decided to apply anyways, but before, 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. Unfortunately, they require Python, and I'm most proficient with R. I decided to apply anyways, but before, 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. @@ -12,3 +10,6 @@ Otherwise, the current files in this directory are: - [AlgorithmsClassification.py](https://github.com/NunoSempere/nunosempere.github.io/blob/master/maths-prog/MachineLearningDemystified/AlgorithmsClassification.py). As a first exercise, I try to predict whether the medical bills of a particular individual are higher than the mean of the dataset. Some algorithms, like Naïve Bayes, are not really suitable for regression, but are great for predicting classes. - [AlgorithmsRegression,py](https://github.com/NunoSempere/nunosempere.github.io/blob/master/maths-prog/MachineLearningDemystified/AlgorithmsRegression,py). I try to predict the healthcare costs of a particular individual, using all the features in the dataset. +## Thoughts on sklearn + +##