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03_module-3/01_module-3-evaluation/01_model-evaluation-selection.mp4 33.3 MB02_module-2/01_module-2-supervised-machine-learning/05_linear-regression-least-squares.mp4 31.8 MB02_module-2/01_module-2-supervised-machine-learning/06_linear-regression-ridge-lasso-and-polynomial-regression.mp4 30.7 MB02_module-2/01_module-2-supervised-machine-learning/12_decision-trees.mp4 28.8 MB04_module-4/01_module-4-supervised-machine-learning-part-2/05_neural-networks.mp4 28.4 MB01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/07_k-nearest-neighbors-classification.mp4 28.2 MB01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/03_key-concepts-in-machine-learning.mp4 24.9 MB03_module-3/01_module-3-evaluation/08_model-selection-optimizing-classifiers-for-different-evaluation-metrics.mp4 21.0 MB04_module-4/01_module-4-supervised-machine-learning-part-2/08_data-leakage.mp4 20.1 MB01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/05_an-example-machine-learning-problem.mp4 20.0 MB02_module-2/01_module-2-supervised-machine-learning/01_introduction-to-supervised-machine-learning.mp4 19.9 MB02_module-2/01_module-2-supervised-machine-learning/08_linear-classifiers-support-vector-machines.mp4 19.2 MB02_module-2/01_module-2-supervised-machine-learning/04_k-nearest-neighbors-classification-and-regression.mp4 18.7 MB01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/02_introduction.mp4 18.3 MB04_module-4/01_module-4-supervised-machine-learning-part-2/03_random-forests.mp4 18.3 MB03_module-3/01_module-3-evaluation/05_multi-class-evaluation.mp4 17.5 MB02_module-2/01_module-2-supervised-machine-learning/07_logistic-regression.mp4 17.2 MB03_module-3/01_module-3-evaluation/02_confusion-matrices-basic-evaluation-metrics.mp4 17.0 MB01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/06_examining-the-data.mp4 16.4 MB02_module-2/01_module-2-supervised-machine-learning/02_overfitting-and-underfitting.mp4 16.3 MB
Applied Acoustics Systems - Chromaphone 2.1.1 VSTi,... 68.8 MB CGCircuit – Applied Houdini Dynamics Volumes 5 550.6 MB
Applied Biochemistry and Biotechnology 5.3 GB Applied Houdini Dynamics 4 390.0 MB CGcircuit – Applied Houdini Rigids I 785.1 MB Applied Houdini - Rigids IV 1.7 GB [CourseClub.NET] Coursera - Applied Machine Learning in Python 923.9 MB DorcelClub.17.12.13.Alexis.Brill.An.Applied.Student.XXX.S... 166.7 MB
Emergence.S01E11.Applied.Sciences.1080p.AMZN.WEBRip.DDP5.... 3.1 GB Applied.Acoustics.Systems.STRUM.GS.4.3.0 171.8 MB
03_module-3/01_module-3-evaluation/01_model-evaluation-selection.en.srt 
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