Machine Learning Algorithms

Sr. No.	Algorithm	View	Python File
1.a	KNN - Classification	notebook	.py
1.b	KNN - Regression	notebook	.py
1.c	KNN - Weighted Classification	notebook	.py
2	Linear Regression	notebook
3	Logistic Regression	notebook	.py
4	Decision Trees	notebook	.py
5	Naive Bayes	notebook
6	Random Forest	notebook
7	AdaBoost	notebook
8	K-means Clustering	notebook	.py
9	PCA	notebook
10	Apriori Algorithm		.py

Name		Name	Last commit message	Last commit date
Latest commit History 78 Commits
Apriori algorithm		Apriori algorithm
Boosting - AdaBoost		Boosting - AdaBoost
Decision Trees		Decision Trees
K-Nearest Neigbors		K-Nearest Neigbors
K-means		K-means
Linear Regression		Linear Regression
Logistic Regression		Logistic Regression
Naive Bayes		Naive Bayes
Principal Component Analysis		Principal Component Analysis
Random Forest		Random Forest
Support Vector Machines		Support Vector Machines
datasets		datasets
.gitattributes		.gitattributes
.gitignore		.gitignore
README.md		README.md
logo.png		logo.png
requirements.txt		requirements.txt

veb-101/Machine-Learning-Algorithms