karan842/Data-Science-Projects
Data Science projects on various problem statements and datasets using Data Analysis, Machine Learning Algorithms, Deep Learning Algorithms, Natural Language Processing, Business Intelligence concepts by Python
This collection offers practical examples of how data science and machine learning can be applied to various real-world problems. It demonstrates workflows from data preparation through to the application of machine learning and deep learning algorithms, using different datasets. Aspiring Data Scientists, Machine Learning Engineers, and Data Analysts can use these projects to understand how to approach common data challenges.
113 stars. No commits in the last 6 months.
Use this if you are an aspiring data scientist or machine learning engineer looking for practical project examples to learn from and build your portfolio.
Not ideal if you are looking for production-ready code or highly optimized solutions for complex business problems.
Stars
113
Forks
22
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Jun 20, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/karan842/Data-Science-Projects"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
GoogleCloudPlatform/data-science-on-gcp
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan,...
rjurney/Agile_Data_Code_2
Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition
linogaliana/python-datascientist
Dépôt associé au cours Python pour data scientists (ENSAE 2e année)
yogeshhk/TeachingDataScience
Course notes for Data Science related topics, prepared in LaTeX
PacktWorkshops/The-Data-Science-Workshop
A New, Interactive Approach to Learning Data Science