weight-loss

GitHub describes it as Machine Learning meets ketosis: how to effectively lose weight. The repository metadata lists Python as its primary language. The metadata lists the NOASSERTION license. This article stays within the project description and details documented in the GitHub repository README.

GitHub describes it as Machine Learning meets ketosis: how to effectively lose weight. The repository metadata lists Python as its primary language. The metadata lists the NOASSERTION license. The README describes the project this way: Discovering ketosis: how to effectively lose weight =====================================================

The README section "Here is a chart of my weight vs. time in the past 16 months or so:" states: The chart was generated from a data-set weight.2015.csv by the script date-weight.r in this git repository. It requires R and ggplot2 .

The README section "Here is a chart of my weight vs. time in the past 16 months or so:" states: In the following I'll describe the thought process, some other people ideas, and the code I used to separate signal from noise. This separation was critical to help lead me in the right direction.

The README section "Here is a chart of my weight vs. time in the past 16 months or so:" states: The below is what worked for me. Your situation may be different. Listen to your own body. The code here is designed to be used on your own data, not on mine.

The repository README is the source for this review. It does not replace a local installation or an independent test.

• Source 1 · Project repository
• Source 2 · README