Machine Learning with Python IBM Full Course | Python Machine Learning Basic | Scikit Learn

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Machine Learning with Python A Practical Introduction IBM Full Course, Python Machine Learning Basics, Basic Machine Learning for Data Science, Scikit Learn #ibmdatascience #machinelearning #machinelearningwithpython #machinelearningfullcourse #datasciencemachinelearning #scikitlearn Course Contents 00:00:00 Course Introduction 00:02:46 An Overview of Machine Learning 00:10:46 Machine Learning Model Lifecycle 00:12:48 A Day in the life of a Machine Learning Engineer 00:20:28 Data Scientist vs AI Engineer 00:30:58 Tools for Machine Learning 00:39:32 Scikit-learn Machine Learning Ecosystem 00:44:36 Introduction to Regression 00:48:59 Introduction to Simple Linear Regression 00:54:06 Multiple Linear Regression 01:01:42 Polynomial and Non-Linear Regression 01:08:55 Introduction to Logistic Regression 01:15:28 Training a Logistic Regression Model 01:21:53 Classification 01:27:34 Decision Trees 01:34:38 Regression Trees 01:40:42 Supervised Learning with SVMs 01:47:42 Supervised Learning with KNN 01:54:08 Bias, Variance and Ensemble Models 02:00:35 Clustering Strategies and Real-World Applications 02:07:54 K-means and More on K-means 02:15:21 DBSCAN and HDBSCAN 02:21:57 Clustering Dimension Reduction & Feature Engineering 02:26:37 Dimension Reduction Algorithms 02:31:19 Classification Metrics and Evaluation Techniques 02:37:40 Regression Metrics and Evaluation Techniques 02:43:10 Evaluating Unsupervised Learning Models 02:50:23 Cross Validation an Advanced Model Validation Techniques 02:56:08 Regularization in Regression and Classification 03:03:13 Data Leakage other regression