https://github.com/techiesamosa/100-days-ml

100 days Machine Learning challenge.
https://github.com/techiesamosa/100-days-ml

Last synced: about 1 month ago
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100 days Machine Learning challenge.

• Host: GitHub
• URL: https://github.com/techiesamosa/100-days-ml
• Owner: TechieSamosa
• License: apache-2.0
• Created: 2024-03-19T08:33:26.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-05-13T19:29:02.000Z (about 1 year ago)
• Last Synced: 2025-03-25T21:12:19.002Z (about 2 months ago)
• Language: Jupyter Notebook
• Size: 58.6 MB
• Stars: 4
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# 100 Days ML Challenge



  

  

  

  

  

  

  

  



Welcome to the **100 Days ML Challenge** repository! We're embarking on a journey to explore Machine Learning for the next 100 days with our friends. Each day, we'll dedicate time to engage in ML-related activities, experiments, and projects to enhance our skills and understanding.


## About the Challenge

The **100 Days ML Challenge** is an initiative to foster continuous learning and growth in the field of Machine Learning. Over the course of 100 days, we'll delve into various ML concepts, algorithms, and applications, aiming to deepen our knowledge and expertise.

## Objectives

- **Daily Activities:** Engage in ML-related tasks, such as coding challenges, project work, or learning modules.

- **Collaboration:** Share insights, resources, and progress with each other to support and inspire one another.

- **Growth:** Track our journey, celebrate achievements, and reflect on challenges to facilitate continuous improvement.

## Contributors Graph

Check out the graph below to see the contributions made by each member of our group on a daily basis:



  

  

  





### Tushar's Stats



  

  

  





### Vedant's Stats



  

  

  





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## Join Us

Ready to join the challenge? Feel free to contribute to this repository and embark on your own 100-day ML journey with us! Let's learn, experiment, and grow together in the fascinating field of Machine Learning.

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