KMeans-KNN-Libraries-Vs-Python-Code

K-Means Clustering implementation from scratch using Python, attempting to form meaningful clusters from the College Dataset. Cluster Validity checked using Confusion Matrix, Entropy etc.
KNN implementation from scratch, also using Python, used for classification, results compared with SKLearn library functions.

Name		Name	Last commit message	Last commit date
Latest commit History 22 Commits
K-Means-Clustering		K-Means-Clustering
KNN-Classification		KNN-Classification
.gitmodules		.gitmodules
CC-GENERAL.csv		CC-GENERAL.csv
College.csv		College.csv
README.md		README.md
ccdata.zip		ccdata.zip
class_presentation.pdf		class_presentation.pdf

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