Problem

As a machine learning enthusiast, I found that there was a lack of resources available for practicing and mastering various machine learning techniques. I wanted to create a repository that would provide practical implementations and detailed analysis of fundamental concepts and algorithms.

I realized that many individuals who were interested in learning about machine learning struggled to find relevant assignments that would help them gain hands-on experience. This led us to create the Machine-Learning-Assignments repository on GitHub.

Learn more about our project here.

Solution

Our solution was to create a repository on GitHub that contained a series of assignments aimed at practicing and mastering various machine learning techniques. I included practical implementations and detailed analysis of fundamental concepts and algorithms, making it easier for individuals to gain hands-on experience in the field.

The assignments covered topics such as linear regression, logistic regression, decision trees, neural networks, and more. Each assignment included step-by-step instructions on how to implement the algorithm, along with sample code and datasets for testing purposes.

Impact

If individuals will complete the assignments they will gain hands-on experience in machine learning

"Our Machine-Learning-Assignments repository has had an incredible impact on individuals looking to gain hands-on experience in the field."

Team

Rushikesh Choudhari- Machine Learning Engineer
- Oversaw the creation and implementation of the assignments
- Provided detailed analysis and feedback on each assignment
Rushikesh Choudhari- Data Scientist
- Contributed to the creation of the assignments and provided sample datasets for testing purposes
- Assisted with troubleshooting and debugging code issues

Creating GitHub Repository for Machine Learning Practice