Data-Science-Portfolio and data-science-portfolio

Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 13/25
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 10/25
Stars: 7
Forks: 2
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 6
Forks: 1
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About Data-Science-Portfolio

srikhetramohanty/Data-Science-Portfolio

This is a repository created in line with my understanding & implementation of the major complex ideas in Machine Learning & Inferential Statistics while working as a data science professional in the industry.

This resource provides comprehensive tutorials and from-scratch implementations of core machine learning and inferential statistics concepts. It offers end-to-end mini-projects demonstrating various data science algorithms, and also includes manual implementations of popular models benchmarked against industry-standard libraries. Data scientists, machine learning engineers, and advanced data analysts can use this to deepen their understanding of how these models work under the hood.

machine-learning-engineering statistical-analysis data-preprocessing model-interpretability algorithm-benchmarking

About data-science-portfolio

kangnurrohman/data-science-portfolio

Data science portfolio that I have worked on in academics, personal experiments and self-study

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