ML-from-Scratch Objective This Repo aims to contains warious topic/techniques of Machine learning, which is easy to understand and is implemented from scratch. Content of this repo Machine learning Algos Linear Regression Logistic Regression K Nearest Neighbors ML Techniques Ordinal Encoding OneHot Encoding Standardization Normalization Handling missing values Mean Median Imputation Arbitary Value Imputation KNN Imputation Handling Outliners Z-Score IQR Method Evaluation Metrices Regression metrices Classification metrices