HitchHikers-Guide-Machine-Learning

Author: Conor Dewey

Date Completed: 7/2017

Description: Guide explaining and implementing relevant machine learning algorithms in a clear and concise way.

Name	Name	Last commit message	Last commit date
Latest commit rafidude first commit Apr 14, 2018 4d29aa2 · Apr 14, 2018 History 1 Commit
.ipynb_checkpoints	.ipynb_checkpoints	first commit	Apr 14, 2018
Hitchhiker's Guide to Machine Learning Algorithms in Python.ipynb	Hitchhiker's Guide to Machine Learning Algorithms in Python.ipynb	first commit	Apr 14, 2018
KNN.ipynb	KNN.ipynb	first commit	Apr 14, 2018
PCA.ipynb	PCA.ipynb	first commit	Apr 14, 2018
README.md	README.md	first commit	Apr 14, 2018
SVM.ipynb	SVM.ipynb	first commit	Apr 14, 2018
decision_trees.ipynb	decision_trees.ipynb	first commit	Apr 14, 2018
iris_df.csv	iris_df.csv	first commit	Apr 14, 2018
kmeans_clustering.ipynb	kmeans_clustering.ipynb	first commit	Apr 14, 2018
linear_regression.ipynb	linear_regression.ipynb	first commit	Apr 14, 2018
linear_regression_df.csv	linear_regression_df.csv	first commit	Apr 14, 2018
logistic_regression.ipynb	logistic_regression.ipynb	first commit	Apr 14, 2018
logistic_regression_df.csv	logistic_regression_df.csv	first commit	Apr 14, 2018
random_forest.ipynb	random_forest.ipynb	first commit	Apr 14, 2018

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