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File List
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9-Evaluation.mp4 53.53 MB
11-Linear Regression.mp4 50.32 MB
14-Logistic Regression.mp4 43.87 MB
21-Auto-Regressive Models.mp4 43.59 MB
7-Statistics.mp4 41.02 MB
22-Understanding Neural Net Jargon.mp4 34.21 MB
20-Statistics Related to Time Series.mp4 33.45 MB
8-Probability.mp4 31.55 MB
10-Validation.mp4 30.92 MB
24-Docker-izing the Model.mp4 28.93 MB
18-k-Means Clustering.mp4 28.77 MB
2-CSV Files.mp4 26.71 MB
6-Matrices and Vectors.mp4 26.3 MB
4-SQL-like Databases.mp4 25.83 MB
17-Understanding Clustering.mp4 25.38 MB
25-Docker-izing Model Predictions.mp4 20.52 MB
23-Utilizing the Simple Neural Network.mp4 20.39 MB
13-Nonlinear and Other Types of Regression.mp4 18.92 MB
5-Caching.mp4 17.7 MB
15-k-Nearest Neighbors.mp4 15.67 MB
3-JSON.mp4 15.61 MB
12-Multiple Linear Regression.mp4 14.86 MB
19-Representing Time Series Data in Go.mp4 14.07 MB
1-Handling Data.mp4 13.67 MB
16-Decision Trees.mp4 11.26 MB
0-The Course Overview.mp4 10.56 MB
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