Machine-Learning-Tutorial

Machine Learning Tutorial

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
#1 - Linear Regression		#1 - Linear Regression
#10 - Gradient Boost		#10 - Gradient Boost
#11 - XGBoost		#11 - XGBoost
#12 - PCA		#12 - PCA
#13 - K-Means		#13 - K-Means
#14 - Hierarichal Clustering		#14 - Hierarichal Clustering
#15 - DBSCAN		#15 - DBSCAN
#16 - Anomaly Detection		#16 - Anomaly Detection
#17 - NLP For Machine Learning		#17 - NLP For Machine Learning
#2 - Ridge, Lasso, ElasticNet		#2 - Ridge, Lasso, ElasticNet
#3 - Logistic Regression		#3 - Logistic Regression
#4 - SVM		#4 - SVM
#5 - Naive Bayes		#5 - Naive Bayes
#6 - KNN		#6 - KNN
#7 - Decision Tree		#7 - Decision Tree
#8 - Radnom Forest		#8 - Radnom Forest
#9 - AdaBosst		#9 - AdaBosst
README.md		README.md

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