Machine Learning : Basics to Advanced

Machine Learning: Basics to Advanced is a complete, structured, and practical course designed to help you master Machine Learning using Python. This course starts from absolute fundamentals and gradually moves toward advanced algorithms and real-world applications. A basic knowledge of Python is required, but no prior Machine Learning experience is needed. This course is designed in a simple and beginner-friendly way so that even students with no background in Machine Learning can understand concepts clearly and confidently apply them in real projects. Who This Course Is ForStudents who want to start a career in Machine LearningBeginners with basic Python knowledgeAspiring Data Scientists and ML EngineersSoftware developers who want to add ML skillsAnyone preparing for internships, jobs, or interviews in MLMachine Learning Algorithms CoveredYou will learn and implement the following algorithms with hands-on projects: Linear RegressionMultiple Linear RegressionPolynomial RegressionLogistic RegressionK-Nearest Neighbors (KNN)Support Vector Machine (SVM)Naive BayesDecision TreeRandom ForestK-Means ClusteringWhat You Will LearnComplete Machine Learning workflow Data preprocessing, feature engineering, and exploratory data analysis (EDA)Model training, testing, validation, and performance evaluationHow to choose the right algorithm for a g