GitHub / divyansh1195 / Kaggle-Exercise-Notebooks
This repository contains notebooks in which I have implemented ML Kaggle Exercises for academic and self-learning purposes. In my notebooks, I have implemented some basic processes involved in ML Data Processing like How to take care of Missing Values, Handling Categorical Variables, and operations like mapping, 'Grouping', 'Sorting', 'Renaming and Combining' etc. on Kaggle datasets.
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PURL: pkg:github/divyansh1195/Kaggle-Exercise-Notebooks
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License: gpl-3.0
Language: Jupyter Notebook
Size: 208 KB
Dependencies parsed at: Pending
Created at: almost 5 years ago
Updated at: almost 2 years ago
Pushed at: almost 5 years ago
Last synced at: almost 2 years ago
Topics: cleaning-data, data-analysis, data-structures, data-visualization, exercise-notebooks, feature-engineering, feature-selection, kaggle-datasets, kaggle-exercises, machine-learning-algorithms, operations, python-3, transformations