data-science-portfolio and data-analytics-portfolio

These are competitors—both are personal portfolio repositories showcasing similar data science/analytics projects, and a viewer would choose one based on the portfolio author's project quality and specialization rather than use them together.

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 20/25
Stars: 1,224
Forks: 449
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 120
Forks: 27
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stale 6m No Package No Dependents
No License 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 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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