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Time Series Project Tutorial

Difficulty

  • easy

Average duration

2 hrs

Technologies

Difficulty

  • easy

Average duration

2 hrs

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  • Understand a new dataset.
  • Analyze the time series and study its characteristics.
  • Train a model to predict the amount of water in different areas.

🌱 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

Water detection system

This project is going to be done at Kaggle. Kaggle is known for organizing data science competitions in which individuals and teams can compete to create the best model on a variety of tasks.

Specifically, we will explore a competition that has now ended, which rewarded the top performers with $25,000, distributed to the top four solutions.

Step 1: Register or log in to Kaggle

The first step to participate in a competition is to have a Kaggle account. Registration is very simple and versatile.

Step 2: Participate in the competition

Although it is closed, you can still upload your solutions and compare yourself with the rest of the competitors in the ranking. By clicking here you can access the competition where the purpose is to predict the amount of water.

Read the information about the problem description, evaluation metrics, timeline and prizes. Once you have an overview of the competition, prepare the notebook with the code development and upload it, compare yourself with the other developers.

Follow these tips:

  • Look at the solutions proposed by other developers. Some use time series, others use supervised algorithms such as linear regression, decision trees, etc. Investigate which model might work best for this use case and explore all options.
  • Whatever model you choose, be sure to process and explore the data as studied in past modules.
  • Trial and error! Don't pretend to get the best model the first time, keep trying.

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

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Difficulty

  • easy

Average duration

2 hrs

Difficulty

  • easy

Average duration

2 hrs

Difficulty

  • easy

Average duration

2 hrs

Difficulty

  • easy

Average duration

2 hrs

Sign up and get access to solution files and videos

We will use it to give you access to your account.
Already have an account? Login here.

Difficulty

  • easy

Average duration

2 hrs

Difficulty

  • easy

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