1.16 GB | 00:04:45 | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English

Files Included :
03-course introduction.mp4 (59.31 MB)
04-best practices to follow for exam success.mp4 (25.02 MB)
05-what is machine learning.mp4 (62.85 MB)
06-expectations from fundamentals of machine learning.mp4 (10.44 MB)
07-ai vs deep learning vs machine learning.mp4 (16.53 MB)
08-types of machine learning.mp4 (130.3 MB)
09-steps for machine learning.mp4 (32.92 MB)
10-data preprocessing essentials.mp4 (30.17 MB)
11-data preprocessing demo.mp4 (59.13 MB)
02-supervised machine learning classification.mp4 (38.31 MB)
03-supervised machine learning regression.mp4 (56.25 MB)
04-classification task demo.mp4 (59.88 MB)
05-model selection training and evaluation.mp4 (41.38 MB)
06-evaluating classification models.mp4 (26.27 MB)
07-confusion matrix.mp4 (21.17 MB)
08-evaluation metrics regression.mp4 (39.23 MB)
09-evaluation metrics demo.mp4 (52.26 MB)
02-unsupervised learning clustering.mp4 (32.38 MB)
03-understanding kmeans clustering.mp4 (25.95 MB)
04-clustering demo.mp4 (57.09 MB)
05-hierarchical clustering and density based clustering.mp4 (39.14 MB)
06-unsupervised learning association rule mining.mp4 (33.5 MB)
07-introduction to nvidia rapids.mp4 (23.5 MB)
08-accelerating the ml workflow on gpu demo.mp4 (42.01 MB)
09-cross validation techniques gridsearch randomizedsearch.mp4 (23.06 MB)
10-cross validation techniques demo.mp4 (69.91 MB)
11-arima model time series analysis.mp4 (25.64 MB)
12-arima model demo.mp4 (58.65 MB)]
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