GitHub - nitinjosephrepo/Data-Prepration-For-ML: Most machine learning algorithms require data to be formatted in a very specific way, so datasets generally require preparation before they can yield useful insights. This repository is to document my study notes as I work through steps that I have personally found most challenging.

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Most machine learning algorithms require data to be formatted in a very specific way, so datasets generally require preparation before they can yield useful insights. This repository is to document my study notes as I work through steps that I have personally found most challenging.

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Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
.DS_Store		.DS_Store
Building Pipeline with feature retrieval after Transformation & using Logistic Regression for Feature Importance.ipynb		Building Pipeline with feature retrieval after Transformation & using Logistic Regression for Feature Importance.ipynb
Preprocessing - Encoding Categorical Variables into Numerical Using Pandas & Scikit Learn.ipynb		Preprocessing - Encoding Categorical Variables into Numerical Using Pandas & Scikit Learn.ipynb