Machine Learning Fundamentals
This section includes
REGRESSION: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, Support Vector Regression, Decision Tree Regression, Random Forest Regression
CLASSIFICATION: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification
CLUSTERING: K-Means Clustering, Hierarchical Clustering
*Python 3.6