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Algorithm Optimization Project for Machine Learning

Difficulty

  • easy

Average duration

2 hrs

Technologies

Difficulty

  • easy

Average duration

2 hrs

Technologies

🌱 How to start this project
  • Optimize Python code.

🌱 How to start this project

Follow the instructions below:

  1. Create a new repository by forking the Git project or 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.

🚛 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.

📝 Instructions

Once you start working on the project, you will see a ./notebook/problems.ipynb file containing a list of exercises. Complete each of them, one by one.

Note: We also incorporated a ./notebook/solutions.ipynb file that we strongly suggest you only use if you are stuck for more than 30 min or if you have already finished and want to compare it with your approach.

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Difficulty

  • easy

Average duration

2 hrs

Technologies

Difficulty

  • easy

Average duration

2 hrs

Technologies

Difficulty

  • easy

Average duration

2 hrs

Technologies

Difficulty

  • easy

Average duration

2 hrs

Technologies

Sign up and get access to solution files and videos for free

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

By signing up, you agree to the Terms and conditions and Privacy policy.

Difficulty

  • easy

Average duration

2 hrs

Technologies

Difficulty

  • easy

Average duration

2 hrs

Technologies