aditya1702/Machine-Learning-and-Data-Science

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

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This collection of projects helps aspiring data scientists and machine learning engineers learn and practice core concepts. It provides hands-on code examples for implementing various algorithms and solving real-world problems, from raw data analysis to building AI agents. Users can explore how different machine learning and AI techniques are applied, from basic statistical models to deep learning networks, using Python and R.

275 stars. No commits in the last 6 months.

Use this if you are a student, an aspiring data scientist, or a machine learning engineer looking for practical examples and learning resources to deepen your understanding of AI and ML.

Not ideal if you are looking for a plug-and-play tool or a finished application to solve a specific business problem without needing to understand the underlying code.

data-science-education machine-learning-practice algorithm-implementation AI-learning exploratory-data-analysis
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 23 / 25

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Stars

275

Forks

74

Language

Jupyter Notebook

License

Last pushed

Nov 21, 2022

Commits (30d)

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