"Tools for Data Science Course" Student Interactive Git Repository
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Updated
Dec 18, 2023 - Jupyter Notebook
"Tools for Data Science Course" Student Interactive Git Repository
Codify enables data scientists to perform all the tedious and time-consuming tasks such as EDA (exploratory data analysis), data cleaning, data pre-processing, data visualization, modeling, and evaluation in the data-science life cycle, by only conveying the logic of the task in natural language (English) and the system will automatically give o…
A curated list of learning plans, books, free resources, talk, research papers, datasets, and list of conferences for machine learning.
In this course you’ll receive one of the most comprehensive overviews on open source and commercial tooling available for data science, and the skills on how to use them.
This Jupyter notebook is part of the IBM Data Science course and provides a summary of tools and concepts used in Data Science.
This is an assignment of 'Tools For Data Science' course on Coursera.
🚀 3D Scatter Plot Visualizer in Unity VR: Explore large datasets in 3D with dynamic point dispersion and value grouping (round, ceil, floor). Perfect for trend analysis and dense data visualization! 🎨📊
Final Assignment of IBM's Tools for Data Science course on Coursera
Find here : full description & projects of intro to DS Specialization !
Automatically add imports when a notebook raises a NameError.
Programming assignments completed for course CSE - 5334 Data Mining under Professor Dr. Marnim Galib.
Add a description, image, and links to the data-science-tools topic page so that developers can more easily learn about it.
To associate your repository with the data-science-tools topic, visit your repo's landing page and select "manage topics."