aamir306/Data-Science-Portfolio

Portfolio of data science projects completed by me for self learning.Looking for job opportunity.

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Experimental

This collection of projects demonstrates various data analysis and machine learning workflows. It takes raw data — like Airbnb bookings, loan applications, movie details, sales figures, web pages, social media posts, or images — and processes it to deliver insights, predictions, recommendations, or structured information. Data analysts, business intelligence specialists, marketers, or researchers who need to solve specific data-related problems could find these examples useful.

No commits in the last 6 months.

Use this if you are a data professional looking for practical examples of how to tackle common data science tasks like cleaning data, building predictive models, creating recommendation systems, forecasting trends, scraping information, analyzing sentiment, or performing image recognition.

Not ideal if you are looking for a ready-to-use application or a production-grade tool, as these are self-learning projects demonstrating concepts rather than polished solutions.

data-cleaning predictive-modeling recommendation-systems time-series-forecasting sentiment-analysis
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 14 / 25

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Stars

7

Forks

3

Language

Jupyter Notebook

License

Last pushed

Feb 15, 2019

Commits (30d)

0

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