Machine Learning with Python Basics (For Beginners)

Steps of Machine Learning that you Will learn:Import the data.Split data into Training & Test.Create a Model.Train The Model.Make Predictions.Evaluate and improve.Machine Learning Course Contents:What is Machine Learning - Types of Machine Learning (Supervised & Unsupervised).Linear Regression with One Variable.Linear Regression with One Variable (Cost Function - Gradient Descent).Linear Regression with Multiple Variable.Logistic Regression (Classification).Logistic Regression (Cost Function - Gradient Descent).Logistic Regression (Multiclass).Regularization Overfitting.Regularization (Linear and Logistic Regression).Neural Network Overview.Neural Network (Cost Function).Advice for Applying Machine Leaning.Machine Learning Project 1Machine Learning Project 2Python Basics Course Contents:How to printVariablesReceive Input from UserType ConversionStringFormatted StringString MethodsArithmetic OperationsMath FunctionsIf StatementLogical OperatorsComparison OperatorsWhileFor LoopsNested LoopsList2D ListList MethodsTuplesUnpackingDictionariesFunctionsParametersKeyword ArgumentsReturn StatementTry - ExceptCommentsClassesNotes: