machineLearning

A repo for all the relevant code notebooks and datasets used in my Machine Learning tutorial videos on YouTube, accessible here: https://www.youtube.com/playlist?list=PLlg4M31xJeYa7XcJZWypot8l7R-0E65Ls

Name		Name	Last commit message	Last commit date
Latest commit History 48 Commits
data		data
ppts		ppts
IQR method for handling outliers.ipynb		IQR method for handling outliers.ipynb
Iterative Imputer demo.ipynb		Iterative Imputer demo.ipynb
README.md		README.md
Winsorizing outliers.ipynb		Winsorizing outliers.ipynb
column transformer part 1.ipynb		column transformer part 1.ipynb
column transformer part 2.ipynb		column transformer part 2.ipynb
confusion matrix metrics + ROC & PR curves.ipynb		confusion matrix metrics + ROC & PR curves.ipynb
cross validation.ipynb		cross validation.ipynb
exponential and log transformer.ipynb		exponential and log transformer.ipynb
grid search.ipynb		grid search.ipynb
knn imputer.ipynb		knn imputer.ipynb
label encoder.ipynb		label encoder.ipynb
maxabs scaler.ipynb		maxabs scaler.ipynb
min max scaler.ipynb		min max scaler.ipynb
missing indicator.ipynb		missing indicator.ipynb
normalizer.ipynb		normalizer.ipynb
one hot encoder.ipynb		one hot encoder.ipynb
ordinal encoder.ipynb		ordinal encoder.ipynb
pipeline.ipynb		pipeline.ipynb
power transformer.ipynb		power transformer.ipynb
quantile transformer.ipynb		quantile transformer.ipynb
robust scaler.ipynb		robust scaler.ipynb
simple imputer.ipynb		simple imputer.ipynb
standard scaler.ipynb		standard scaler.ipynb
train_test_split.ipynb		train_test_split.ipynb
why NEVER use pd.get_dummies.ipynb		why NEVER use pd.get_dummies.ipynb
z score for handling outliers.ipynb		z score for handling outliers.ipynb

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