data-science-portfolio and Portfolio

These are direct competitors—both are individual portfolio repositories showcasing data science projects with nearly identical purposes and scope, so a viewer would choose one based on project quality and relevance rather than use them together.

data-science-portfolio
51
Established
Portfolio
49
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 23/25
Stars: 1,224
Forks: 449
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 220
Forks: 80
Downloads:
Commits (30d): 0
Language:
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About data-science-portfolio

sajal2692/data-science-portfolio

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

This collection of projects demonstrates various data science techniques to solve real-world problems. It takes in diverse datasets, such as housing prices, customer spending, or social survey results, and produces insights, predictions, or classifications. Aspiring data scientists, analysts, or students looking for practical examples to learn from would find this useful.

data-analysis machine-learning-examples natural-language-processing data-visualization predictive-modeling

About Portfolio

archd3sai/Portfolio

This Portfolio is a compilation of all the Data Science and Data Analysis projects I have done for academic, self-learning and hobby purposes. This portfolio is updated on the regular basis.

This portfolio showcases a collection of data science and data analysis projects, demonstrating skills in various real-world applications. It includes examples of predicting customer churn, recommending news articles, and forecasting equipment failures. The projects use diverse datasets to solve practical business and engineering problems, making it valuable for recruiters, hiring managers, and collaborators looking for an experienced data scientist or analyst.

customer-analytics predictive-maintenance recommendation-systems financial-risk quality-control

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