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Khelil Sator edited this page Jun 30, 2019
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Welcome to the wiki!
- What to find in this repository
- About the Python libraries used in this repo
- Euclidean distance vs Manhattan distance
- machine learning introduction
- machine learning algorithms overview
- Introduction to arrays using numpy
- visualize a dataset using seaborn
- manipulate dataset with pandas
- classification using SVC (Support vector classifier)
- Graph a dataset using matplotlib
- Use k-Fold Cross Validation to evaluate the performance of a trained model
- Remove irrelevant features to reduce overfitting using RFE (Recursive Feature Elimination)
- transform non numerical labels to numerical labels with LabelEncoder
- split a column into multiple columns (One Hot Encode)
- data preparation example