Pluralsight Path Deep Learning Literacy Practical Application 2022 C4 Build Model for Anomaly Detection in Time Series Data Pratheerth Padman 2022 Course Overview Course Overview vtt

Pluralsight Path Deep Learning Literacy Practical Application 2022
C4 Build Model for Anomaly Detection in Time Series Data Pratheerth Padman 2022 Course Overview Course Overview vtt

Name	Pluralsight Path. Deep Learning Literacy. Practical Application (2022)	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.9 GB
Total Files	486
Last Seen	2025-05-14 23:40
Hash	834B6201E4DFFFCAA866824648C67D3D42C40431

/C4. Build a Model for Anomaly Detection in Time Series Data (Pratheerth Padman, 2022)/1. Course Overview/1. Course Overview.vtt	2.2 KB
/C4. Build a Model for Anomaly Detection in Time Series Data (Pratheerth Padman, 2022)/1. Course Overview/1. Course Overview.mp4	3.4 MB
/C4. Build a Model for Anomaly Detection in Time Series Data (Pratheerth Padman, 2022)/exercise.7z	7.0 MB
/C4. Build a Model for Anomaly Detection in Time Series Data (Pratheerth Padman, 2022)/playlist.m3u	2.0 KB
/C4. Build a Model for Anomaly Detection in Time Series Data (Pratheerth Padman, 2022)/~i.txt	1.6 KB
/C4. Build a Model for Anomaly Detection in Time Series Data (Pratheerth Padman, 2022)/4. Model Evaluation and Dealing with Anomalies/1. Module Overview.vtt	1.0 KB
/C4. Build a Model for Anomaly Detection in Time Series Data (Pratheerth Padman, 2022)/4. Model Evaluation and Dealing with Anomalies/1. Module Overview.mp4	1.1 MB
/C4. Build a Model for Anomaly Detection in Time Series Data (Pratheerth Padman, 2022)/3. Building a Model to Automate Anomaly Detection/01. Module Overview.vtt	1.3 KB
/C2. Build a Rating Recommendation Engine with Collaborative Filtering (Pratheerth Padman, 2022)/1. Course Overview/1. Course Overview.vtt	2.2 KB
/C3. Build an Object Detection Model with Python (Gabrielle Davelaar, 2022)/1. Course Overview/1. Course Overview.vtt	2.0 KB
/C4. Build a Model for Anomaly Detection in Time Series Data (Pratheerth Padman, 2022)/3. Building a Model to Automate Anomaly Detection/01. Module Overview.mp4	1.6 MB
/C2. Build a Rating Recommendation Engine with Collaborative Filtering (Pratheerth Padman, 2022)/1. Course Overview/1. Course Overview.mp4	3.3 MB
/B1. Implement Image Recognition with a Convolutional Neural Network (Pratheerth Padman, 2022)/1. Course Overview/1. Course Overview.vtt	2.5 KB
/C3. Build an Object Detection Model with Python (Gabrielle Davelaar, 2022)/1. Course Overview/1. Course Overview.mp4	2.7 MB
/C4. Build a Model for Anomaly Detection in Time Series Data (Pratheerth Padman, 2022)/3. Building a Model to Automate Anomaly Detection/10. Module Summary.vtt	1.8 KB
Showing first 15 files of 486 total files