About us

Learning library

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

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

Machine Learning Engineering (16 weeks)

Full-Stack Software Developer

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Social & live learning

The most efficient way to learn: Join a cohort with classmates just like you, live streams, impromptu coding sessions, live tutorials with real experts, and stay motivated.

From zero to getting paid as a developer, learn the skills of today and tomorrow. Boost your professional career and be hired by a technology company.

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Real Estate Data Cleanup

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

Live demo

Not available

Average duration

3 hrs

Technologies

Finally, you already have all the necessary knowledge to prepare a real dataset to later train a machine learning model, which you will learn throughout the bootcamp.

It is intended that you apply all the knowledge learned with the other Numpy, Pandas, Matplotlib notebooks and even openCV that we will delve into later.

Feel free to add any additional analysis that you consider necessary and that is not raised in the questions.

🌱 How to start this project

This project comes with the necessary files to start working, so you just need to clone its repository to start. We strongly recomend using Gitpod to clone it by clicking here.

📝 Instructions:

Please open this project in Gitpod, then, open the file ./project.ipynb that contains a series of exercises, compleate each of the exercises one by one.

Note: This exercise is not automatically graded.

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

Live demo

Not available

Average duration

3 hrs