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Machine Learning Specialization
Task 2：Linear Regression Techniques
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Task List
Task 1-1：Welcome to machine learning!
Task 1-2：Introduction to Supervised Learning
Task 2：Linear Regression Techniques
Task 3：Regularization to Avoid Overfitting
Task 4：Logistic Regression for Classification
Task 5-1：TensorFlow implementation
Task 5-2：Gradient Descent Optimization
Task 6-1：Welcome!
Task 6-2：Introduction to Neural Networks
Task 7：Building Neural Networks with TensorFlow
Task 8：Multi-class Classification Techniques
Task 9：Decision Trees and Their Applications
Task 10：Tree Ensembles and XGBoost
Task 11-1： Deciding what to try next
Task 11-2：Clustering Techniques and Anomaly Detection
Task 12-1：Decision tree model
Task 12-2：Collaborative Filtering for Recommender Systems
Task 13：Content-Based Recommender Systems
Task 14：Reinforcement Learning Fundamentals
Task 15：Developing Deep Reinforcement Learning Models
Task 16：Welcome to machine learning
Task 17：sample
Task 18：Welcome to machine learning
