shaildeliwala/experiments
Code and notebooks containing my experiments in data science, EDA, visualization, and machine learning
This collection offers practical tips to streamline common data science tasks, tutorials for building data applications, and examples of data analysis. It provides guidance on improving data workflows, converting chart types, and analyzing datasets like Airbnb listings. Data scientists, analysts, and machine learning engineers would find this useful for learning and experimentation.
No commits in the last 6 months.
Use this if you are a data professional looking for practical advice, tutorials on tools like Streamlit, or examples of data analysis and machine learning experiments.
Not ideal if you are looking for a ready-to-use application or a fully developed library for a specific business problem.
Stars
27
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21
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Jun 26, 2023
Commits (30d)
0
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