04.Implementing Clustering and Dimensionality Reduction in Spark ML/0402.Supervised and Unsupervised Learning Techniques.mp4

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16. SUPERVISED LEARNING REGRESSION/1. Linear Regression 1.mp4

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16. SUPERVISED LEARNING REGRESSION/10. Linear Regression 9 - Stepwise Regression.mp4

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2. Supervised Learning - part 1/1. Introduction to Supervised Learning.mp4

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2. Supervised Learning - part 1/10. Quiz- Answers - Section 2.html

2. Supervised Learning - part 1/10.1 Unit 2 Solutions.pdf.pdf

2. Supervised Learning - part 1/2. Linear Methods for Classification.mp4

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1. Introduction and Outline/6. What are the practical applications of unsupervised deep learning.mp4

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02.Understanding the Reinforcement Learning Problem/0203.Supervised and Unsupervised Machine Learning Techniques.mp4

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02.Understanding the Reinforcement Learning Problem/0205.Reinforcement Learning vs. Supervised and Unsupervised Learning.mp4

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01. Introduction (Week 1)/1 - 3 - Supervised Learning (12 min).mp4

01. Introduction (Week 1)/1 - 4 - Unsupervised Learning (14 min).mp4

13. Clustering (Week 8)/13 - 1 - Unsupervised Learning- Introduction (3 min).mp4

15. Anomaly Detection (Week 9)/15 - 5 - Anomaly Detection vs. Supervised Learning (8 min).mp4

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6. Data Mining. Semi-supervised learning.mp4

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Exercise Files/05_Tracking/05_03_Supervised_tracking.sni

028 Supervised tracking.mp4

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022 - OTP, Part 4- Supervisors/supervised_list_server.tar.gz

023 - OTP, Part 5- Supervisors and Persistent State/023_supervised_list_server.tar.gz

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07 Pre-Processing the Data to Apply Methodology/006 Semi-Supervised Techniques.mp4

09 The Data Mining Tasks to Find the Fraudulent Transactions/007 Supervised and Unsupervised Approaches.mp4

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