Codebasics Gen AI & Data Science Resume Project Challenge

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Gen AI & Data Science Bootcamp: With Practical Job Placement Support & Virtual Internship

Brand New

US$240

Gen AI & Data Science Bootcamp: With Practical Job Placement Support & Virtual Internship

Become a high-paying AI-enabled Data Scientist by learning the secrets of the industry taught by data scientist hiring managers with 8+ years of international experience in data industry.

What will you get?

A real-world AI & Data Science project to showcase on your resume.
Hands-on experience applying AI/ML techniques to real business problems and datasets.
Exclusive Codebasics swag for the top 3 submissions.
An appreciation certificate for every qualified submission.

Need assistance with the challenge?

Join our Discord community here.

Click here to join Discord.

Welcome to our Resume Project challenge for Data Science and AI enthusiasts! Here's a step-by-step guide on how to get started:

Deadline and Enrollment:

The current challenge details, including the deadline, will be displayed at the top of this page.
To participate, simply click the "Enroll for Free" button and follow the instructions to enroll for the challenge.

Problem Statement:

Read the problem statement thoroughly to understand the task you are required to solve.
It outlines the real-world challenge you're expected to solve, along with the objectives and deliverables.

Download Dataset:

Click the "Download Files Here" button to download the dataset.
The data will be in a zip file format.
After downloading, unzip the file to access all the required files, including:
- Data (CSV files/PDF/Doc)
- Reference materials or mock-ups (if any)

Familiarize Yourself:

Take some time to familiarize yourself with the problem statement and data.
If a specific tool, language, or framework is mentioned, please use that.
Otherwise, you are free to choose any tool to build the solution.
If provided, explore the GitHub repo for starter code, documentation, or implementation guidelines.

Develop Your Solution:

Use your skills in Data Science and AI (data preprocessing, analysis, NLP, machine learning, and RAG) to solve the problem.
Create and share the GitHub repository (or fork into the starter repo, if provided) for your project, including your code, documentation, and any relevant assets.
Ensure your approach aligns with the goals set in the problem statement.
Follow good coding practices and document your work clearly.

Share your Work:

Once you have completed your analysis, create a post on LinkedIn.
Tag our codebasics page, Dhaval Patel, and Hemanand in your post.
Be creative in your presentation and consider incorporating audio or video elements for a more impactful submission.

Submission:

Return to this page and submit the link to your LinkedIn post. Example Post
This link will be used for the final evaluation of your work.

Winners Announcement:

The winners of the challenge will be announced on our official YouTube channel or LinkedIn Page after the deadline. Example Winner Announcement
This link will be used for the final evaluation of your work.

Previous Challenges:

You can always work on previous challenges to enhance your skills and build your portfolio.
Take advantage of the opportunity to practice and showcase your work.

We hope this guide helps you get started with our monthly challenge. If you have any further questions or need assistance, feel free to reach out to us at [email protected] or the discord support channel. Good luck!

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