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06e - Setup grout subfracture.mp4 293.5 MB
10d - Render iterations.mp4 76.4 MB
10b - Colorize pieces.mp4 70.8 MB
08 - Create proxy pieces.mp4 66.8 MB
06c - Tweak and constrain big subfracture.mp4 64.5 MB
05a - Generate and orient cutters.mp4 63.0 MB
02d - Finalize initial cutters.mp4 50.7 MB
05c - Grout.mp4 47.3 MB
02b - Draw initial cutters.mp4 45.0 MB
03 - Booleans.mp4 44.8 MB
10a - Efficient caching.mp4 44.5 MB
02a - Terrain surface.mp4 44.3 MB
04a - First fracture.mp4 43.2 MB
06a - Calculate volume.mp4 43.2 MB
09c - Manual error correction.mp4 42.6 MB
02c - Finalize terrain.mp4 41.6 MB
06d - Optimize grout.mp4 38.8 MB
09b - Build DOP network.mp4 36.5 MB
07d - Initialize constraints.mp4 33.8 MB
06b - Setup big subfracture.mp4 32.5 MB
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[ FreeCourseWeb.com ] Udemy - Applied Kinesiology for Love, Joy and Wealth!.zip 705.9 MB
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~Get Your Files Here !/17.ts 341.9 MB
~Get Your Files Here !/22.ts 325.7 MB
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~Get Your Files Here !/19.ts 275.5 MB
~Get Your Files Here !/18.ts 274.2 MB
~Get Your Files Here !/15.ts 253.5 MB
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~Get Your Files Here !/07.ts 138.0 MB
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2 - 1. Onboarding Flow/4 - Adding interactivity and testing in XD.mp4 16.7 MB
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Exercise Files/02_XD_Import/OnBoard.xd 1.3 MB
Exercise Files/03_XD_Prototype/OnBoard_Complete.xd 1.2 MB
Exercise Files/02_XD_Import/OnBoard_Complete.xd 1.2 MB
Exercise Files/03_XD_Prototype/OnBoard.xd 1.2 MB
Exercise Files/01_Sketch/OnboardLayout.sketch 1.2 MB
Exercise Files/01_Sketch/Onboard_Complete.sketch 739.3 kB
Exercise Files/02_XD_Import/Assets/Onboard.sketch 739.3 kB
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Exercise Files/01_Sketch/Assets/Hike.jpg 144.6 kB
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09 Chapter 6.pdf 61.6 MB
06 Chapter 3.pdf 60.0 MB
07 Chapter 4.pdf 58.2 MB
08 Chapter 5.pdf 47.2 MB
11 Chapter 8.pdf 38.8 MB
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05 Chapter 2.pdf 28.5 MB
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00 Cover.png 17.4 MB
04 Chapter 1.pdf 8.1 MB
14 Index, Credits, Applications.pdf 6.2 MB
12 Appendix (A and B).pdf 6.1 MB
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02 Table of Contents.pdf 2.9 MB
03 Preface.pdf 2.0 MB
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15 Rendering - Settings B.m4v 64.2 MB
04 Sparse Solver - Volume Density Source.m4v 48.7 MB
21 Lighting - Volume Limit.m4v 42.6 MB
18 Lighting - Enviroment Light.m4v 40.5 MB
05 Sparse Solver - Sparse Simulation Set-Up.m4v 39.6 MB
09 Colorful Smoke - Source.m4v 37.8 MB
14 Rendering - Settings A.m4v 37.5 MB
25 Compositing - Playing With Color.m4v 37.2 MB
24 Rendering Tweaks - Shadow Passes.m4v 33.6 MB
07 Sparse Solver - Velocity Source.m4v 32.2 MB
22 Rendering Tweaks - Denoising.m4v 29.4 MB
19 Lighting - Geometry Light.m4v 29.0 MB
13 Rendering - Materials.m4v 27.7 MB
12 Rendering - Set-Up.m4v 27.4 MB
11 Colorful Smoke - Temporary Sim Fix.m4v 27.1 MB
23 Rendering Tweaks - Elements.m4v 25.6 MB
26 Compositing - Putting It Together.m4v 24.9 MB
17 Lighting - Area & Sun Light.m4v 24.5 MB
15 Rendering - Settings B.mp3 22.1 MB
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3.2. Exploratory Data Analysis and Data Cleaning/15.Exploring categorical features.mp4 15.9 MB
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6.5. End-to-End Pipeline/32.Fit a basic model using cross-validation.mp4 15.6 MB
3.2. Exploratory Data Analysis and Data Cleaning/16.Plotting categorical features.mp4 15.0 MB
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4.3. Measuring Success/19.Split data for train_validation_test set.mp4 13.6 MB
2.1. Machine Learning Basics/07.Why Python.mp4 12.7 MB
3.2. Exploratory Data Analysis and Data Cleaning/17.Categorical data cleaning.mp4 11.6 MB
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2.1. Machine Learning Basics/09.Demos of machine learning in real life.mp4 11.1 MB
6.5. End-to-End Pipeline/31.Split data into train_validation_test set.mp4 10.2 MB
5.4. Optimizing a Model/26.Hyperparameter tuning.mp4 10.1 MB
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02_module-2/01_module-2-supervised-machine-learning/05_linear-regression-least-squares.mp4 31.8 MB
02_module-2/01_module-2-supervised-machine-learning/06_linear-regression-ridge-lasso-and-polynomial-regression.mp4 30.7 MB
02_module-2/01_module-2-supervised-machine-learning/12_decision-trees.mp4 28.8 MB
04_module-4/01_module-4-supervised-machine-learning-part-2/05_neural-networks.mp4 28.4 MB
01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/07_k-nearest-neighbors-classification.mp4 28.2 MB
01_module-1/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/03_key-concepts-in-machine-learning.mp4 24.9 MB
03_module-3/01_module-3-evaluation/08_model-selection-optimizing-classifiers-for-different-evaluation-metrics.mp4 21.0 MB
04_module-4/01_module-4-supervised-machine-learning-part-2/08_data-leakage.mp4 20.1 MB
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02_module-2/01_module-2-supervised-machine-learning/01_introduction-to-supervised-machine-learning.mp4 19.9 MB
02_module-2/01_module-2-supervised-machine-learning/08_linear-classifiers-support-vector-machines.mp4 19.2 MB
02_module-2/01_module-2-supervised-machine-learning/04_k-nearest-neighbors-classification-and-regression.mp4 18.7 MB
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04_module-4/01_module-4-supervised-machine-learning-part-2/03_random-forests.mp4 18.3 MB
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02_module-2/01_module-2-supervised-machine-learning/07_logistic-regression.mp4 17.2 MB
03_module-3/01_module-3-evaluation/02_confusion-matrices-basic-evaluation-metrics.mp4 17.0 MB
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014 - Wedgeing Explosion Locations and Review.mp4 51.1 MB
016 - Conclusion and Review.mp4 51.1 MB
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011c - Wedging - Glue Inside Strength.mp4 46.2 MB
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05c - Constriants - Clustering Pieces.mp4 42.7 MB
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05b - Constriants - Glue Constraints and Attributes.mp4 40.3 MB
013c - CreatingHQPieces - Cleaning Up and Testing.mp4 38.3 MB
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06 02 Rigid Main Sim.mp4 143.7 MB
03 01 Main Particles Sim.mp4 114.4 MB
05 01 Debris.mp4 101.5 MB
11 02 Rendering.mp4 98.3 MB
07 01 Ground Scar.mp4 93.0 MB
07 03 Ground Scar.mp4 78.7 MB
07_SCAR!!!!!.mp4 74.1 MB
04 Particle Rendering.mp4 70.1 MB
08 Trail Particle Sim.mp4 63.4 MB
03 02 Main Particles Sim.mp4 56.6 MB
01 Scene Setup.mp4 52.1 MB
11 01 Rendering.mp4 50.6 MB
07 02 Ground Scar.mp4 45.1 MB
02 Main Laser Sim.mp4 42.0 MB
03 01 Main Particles Sim.mp3 39.6 MB
06 01 Rigid Main Sim.mp4 37.2 MB
07 03 Ground Scar.mp3 32.6 MB
09 02 Main Smoke Sim.mp4 26.2 MB
01 Scene Setup.mp3 25.6 MB
08 Trail Particle Sim.mp3 25.1 MB
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