4Geeks logo
4Geeks logo

Courses

Explore our extensive collection of courses designed to help you master various subjects and skills. Whether you're a beginner or an advanced learner, there's something here for everyone.

Coding Bootcamp

Learn live

Join us for our free workshops, webinars, and other events to learn more about our programs and get started on your journey to becoming a developer.

Upcoming live events

Learning library

For all the self-taught geeks out there, here is our content library with most of the learning materials we have produced throughout the years.

It makes sense to start learning by reading and watching videos about fundamentals and how things work.

Full-Stack Software Developer - 16w

Data Science and Machine Learning - 16 wks

Search from all Lessons


LoginGet Started
← Back to Projects

Linear Regression Project Tutorial

Goal

4Geeks Coding Projects tutorials and exercises for people learning to code or improving their coding skills

Difficulty

easy

Repository

Click to open

Video

Not available

Solution video

Not available

Average duration

2 hrs

Technologies

Weekly Coding Challenge

Every week, we pick a real-life project to build your portfolio and get ready for a job. All projects are built with ChatGPT as co-pilot!

Start the Challenge

Podcast: Code Sets You Free

A tech-culture podcast where you learn to fight the enemies that blocks your way to become a successful professional in tech.

Listen the podcast
  • Understand a new dataset.
  • Process it by applying exploratory data analysis (EDA).
  • Model the data using logistic regression.
  • Analyze the results and optimize the model if possible.

🌱 How to start this project

Follow the instructions below:

  1. Create a new repository based on machine learning project by clicking here.
  2. Open the newly created repository in Codespace using the Codespace button extension.
  3. Once the Codespace VSCode has finished opening, start your project by following the instructions below.

πŸš› How to deliver this project

Once you have finished solving the exercises, be sure to commit your changes, push to your repository and go to 4Geeks.com to upload the repository link.

πŸ“ Instructions

Predicting the cost of health insurance for a person

The important insurance company 4Geeks Insurance S.L. wants to calculate, based on physiological data of its customers what will be the premium (cost) to be borne by each of them. To do this, it has assembled a whole team of doctors and based on data from other companies and a particular study have managed to gather a set of data to train a predictive model.

Step 1: Loading the dataset

The dataset can be found in this project folder under the name medical_insurance_cost.csv. You can load it into the code directly from the link (https://raw.githubusercontent.com/4GeeksAcademy/linear-regression-project-tutorial/main/medical_insurance_cost.csv) or download it and add it by hand in your repository. In this dataset you will find the following variables:

  1. age. Age of primary beneficiary (numeric)
  2. sex. Gender of the primary beneficiary (categorical)
  3. bmi. Body mass index (numeric)
  4. children. Number of children/dependents covered by health insurance (numeric)
  5. smoker. smoker (categorical)
  6. region. Beneficiary's residential area in the U.S.: northeast, southeast, southwest, northwest (categorical)
  7. charges. Health insurance premium (numerical)

Step 2: Perform a full EDA

This second step is vital to ensure that we keep the variables that are strictly necessary and eliminate those that are not relevant or do not provide information. Use the example Notebook we worked on and adapt it to this use case.

Be sure to conveniently divide the data set into train and test as we have seen in previous lessons.

Step 3: Build a linear regression model

You do not need to optimize the hyperparameters. Start by using a default definition and improve it in the next step.

Step 4: Optimize the previous model

After training the model, if the results are not satisfactory, optimize it if possible.

NOTE: Solution: https://github.com/4GeeksAcademy/linear-regression-project-tutorial/blob/main/solution.ipynb

Goal

4Geeks Coding Projects tutorials and exercises for people learning to code or improving their coding skills

Difficulty

easy

Repository

Click to open

Video

Not available

Solution video

Not available

Average duration

2 hrs

Weekly Coding Challenge

Every week, we pick a real-life project to build your portfolio and get ready for a job. All projects are built with ChatGPT as co-pilot!

Start the Challenge

Podcast: Code Sets You Free

A tech-culture podcast where you learn to fight the enemies that blocks your way to become a successful professional in tech.

Listen the podcast