data_science_portfolio and data-analytics-portfolio

These are competitors—both are individual portfolio repositories showcasing similar data science/analytics projects, serving the same purpose of demonstrating technical skills to potential employers or collaborators, with no functional integration between them.

Maintenance 0/25
Adoption 9/25
Maturity 8/25
Community 21/25
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 20/25
Stars: 84
Forks: 39
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stars: 120
Forks: 27
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
No License Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About data_science_portfolio

melvfnz/data_science_portfolio

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

This is a collection of data analysis and machine learning projects that demonstrate various techniques for understanding data and making predictions. It includes examples of analyzing stock and cryptocurrency market trends, predicting house prices, and even recognizing handwritten digits from images. Financial analysts, marketers, and data enthusiasts can explore these examples to see how data can be transformed into actionable insights and forecasts.

financial-analysis market-forecasting predictive-modeling exploratory-data-analysis machine-learning-applications

About data-analytics-portfolio

Iqrar99/data-analytics-portfolio

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

This collection offers practical examples of how to analyze various types of data, such as Pokémon statistics, ramen ratings, student exam results, or hotel booking patterns. It takes raw datasets and demonstrates techniques to explore, visualize, and model the data to reveal insights or make predictions. Data analysts, researchers, or students looking for hands-on examples of data analysis and basic machine learning workflows would find this useful.

data-analysis student-performance market-research hospitality-management customer-feedback

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