About the Portfolio Project: U.S. Medical Insurance Costs category

jmanrique5 · January 6, 2024, 6:58pm

Hi everyone, here is my medical project, I hope you can give me some feedback.

py7382761141 · January 8, 2024, 4:36pm

Hello everyone, could you please check my project and give some advices or feedback.

Abupa/Portfolio-Project/blob/main/Portfolio Project #1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# U.S. Medical Insurance Costs\n",
    "print('Hello world!')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "age = []\n",
    "sex = []\n",

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mega9634025496 · February 6, 2024, 8:35pm

Hello guys!

I finished this Portfolio Project. I would be grateful if You take a look at it and give advice to correct my mistakes and also my git repository because I am not good at it. The project was enjoyable, I want to improve in using pandas

micro0872237747 · February 9, 2024, 1:03am

Hello everyone, I’ve recently finished working on the medical insurance project and would love to hear your thoughts and feedback on it. Thank you!

reginaleonova · March 20, 2024, 9:26am

Hello everyone. This is link to my code: Portfolio/Medical_Insurance_Project at 09833543364d6f2369665e1b04d2100ceebffb82 · ReginaLeonova/Portfolio · GitHub
I would really appreciate your reviews and suggestions.

filipa_feliciano · April 13, 2024, 9:28pm

Hi everyone!

I am about to start my first portfolio project.
In the zip file there is a jupyter notebook file called: “us-medical-insurance-costs-checkpoint”
This file is suppose to be blank to? Because there is already a “us-medical-insurance-costs” that is a blank file.

Thank you!

filipa_feliciano · April 24, 2024, 12:36pm

Hi everyone,

I just finish my first Portfolio Project from the Data Science: Analytics path (currently 32% done)

I would like some feedback if possible… Not only on code but also about the structure of the project.

Here is the link to GitHub:

github.com

FilipaLF/Portfolio/blob/main/us-medical-insurance-costs.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# U.S. Medical Insurance Costs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this project, a CSV file with medical insurance costs will be investigated using Python. The goal with this project will be to analyze various attributes within insurance.csv to learn more about the patient information in the file and gain insight into potential use cases for the dataset.\n",
    "Some of the analysis will be:\n",
    "* Find out the average age of patients in the dataset\n",
    "* Analyze where a majority of individuals are from\n",
    "* Look at different costs between smokers and non-smokers\n",
    "* What the average age is for someone who has at least one child\n",
    "* Return the number of males vs females\n",

This file has been truncated. show original

Thank you in advance!
Filipa

b4nk3 · June 30, 2024, 8:51pm

My git

I had fun creating the functions for numerical analysis and presentation. It was a little challenging to figure out the best approach but the difficulty level was appropriate. In hindsight the code might have been cleaner if I had used an object oriented approach but I ended up doing it functionally.

pablosantos1989 · August 21, 2024, 2:04am

Hi guys! I did an linear approach to define a model that estimates the insurance charge with the variables of age, bmi, sex, number of children and smoker condition.

Here is my repo in Git - hub if you like to check it out!

Code review and comments are most welcome

pablosantos1989 · August 21, 2024, 2:08am

Hi there! I just checked your solution.

Wow your approach is completly different, I like it.

My code review would be:

Do you think the analysis tells us valuable insights regarding how the insurance cost is affected by the variables in the dataset? I found the analysis very statitics driven and not so much as a modeled solution.

Here is my approach, any code review is also welcome!

method9477799238 · November 15, 2024, 7:03pm

Kanban_Project.ipynb

sunrayv · November 16, 2024, 1:08pm

Hello everyone!

Here’s my simple attempt at digesting the data in the insurances.csv file : )
I would really appreciate feedback on

1.) The use of nested loops and if there would be any way to do the same calculations in a simpler way.
2.) What I could do to take the analysis a step deeper with the info available in the Data Science Fundamentals?

Thanks so much for your help!
(Scope & more can be found in the repo)

Portfolio Project: US Medical Insurance Costs

nelsonboamortesantia · November 19, 2024, 2:54pm

Hello,

Here is my contribution to the community through this project.
It was nice to get the chance to improve my skills and get a project for my portfolio.

My findings are:

men in this dataset smoke more than women:
- 159 men are smokers
- 115 women are smokers
the Southeast region has registered the higher number of smokers - 91:
- 36 are women
- 55 are men
the median BMI value for each sex is:
- male: 36.69
- female: 30.11
the median insurance cost value for each sex is:
- male: 9369.62
- female: 9412.96

In the link you can find all the explanations about what i have decided to analyze and why.
Thank you

morel_m_m · December 11, 2024, 2:27pm

hello everyone,
I am Melissa, here is the link to my code for the US Medical Insurance project, which is by the way my first Portfolio on my Python learning journey . I would be happy to get some feedback if possible.

https://github.com/Morel-M/Python-projects/blob/26acee95febc5cc9c5de80518689d87e8513a7cd/us-medical-insurance-costs.ipynb

cloud7747873460 · January 9, 2025, 2:14am

Greetings for everyone,
This is my first project in Codecademy.
GitHub - U.S. Medical Insurance

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