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| 01__MentorProgramInformation.pdf |
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| 01__resources.html |
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| 01_1-nearest-neighbor-regression-approach.en.srt |
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| 01_1-nearest-neighbor-regression-approach.en.txt |
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| 01_1-nearest-neighbor-regression-approach.mp4 |
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| 01_acknowledgements_instructions.html |
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| 01_alternatives-to-the-sigmoid-activation.mp4 |
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| 01_analyzing-product-sentiment-assignment_amazon_baby.csv |
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| 01_analyzing-product-sentiment-assignment_datastructures.html |
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| 01 choosing-features-and-metrics-for-nearest-neighbor-search CLU02-NB01 ipynb zip |
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| 01_classification-ml-block-diagram.en.srt |
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| 01_clustering-documents-task-overview.en.srt |
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| 01_clustering-text-data-with-gaussian-mixtures_4_map_index_to_word.gl.zip |
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| 01_clustering-text-data-with-gaussian-mixtures_people_wiki.gl.zip |
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| 01_clustering-text-data-with-k-means_numpy.mean.html |
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| 01_clustering-text-data-with-k-means_people_wiki.csv.zip |
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| 01_clustering-text-data-with-k-means_pyplot_api.html |
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| 01_clustering-text-data-with-k-means_sklearn.cluster.KMeans.html |
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| 01_clustering-text-data-with-k-means_sklearn.preprocessing.normalize.html |
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| 01_complexity-of-brute-force-search.en.srt |
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| 01_decision-trees-in-practice_module-6-assignment-train-idx.json.zip |
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| 01_deep-features-for-image-retrieval-assignment_image_test_data.csv |
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| 01_download-notebooks-to-follow-along_instructions.html |
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| 01_download-notebooks-to-follow-along_PhillyCrime.ipynb.zip |
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| 01 download-the-jupyter-notebook-used-in-this-lesson-to-follow-along amazon baby sframe zip |
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| 01 download-the-jupyter-notebook-used-in-this-lesson-to-follow-along Getting started with Jupyter Notebook ipynb zip |
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| 01 download-the-jupyter-notebook-used-in-this-lesson-to-follow-along house images zip |
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| 01 download-the-jupyter-notebook-used-in-this-lesson-to-follow-along people wiki sframe zip |
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| 01 download-the-jupyter-notebook-used-in-this-lesson-to-follow-along people-example csv |
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| 01 download-the-jupyter-notebook-used-in-this-lesson-to-follow-along Turi Getting Started with SFrames ipynb zip |
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| 01_ensemble-methods-impact-of-boosting-quick-recap.en.srt |
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| 01 exploring-different-multiple-regression-models-for-house-price-prediction home data sframe zip |
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522.47Кб |
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628.57Кб |
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738.28Кб |
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831.75Кб |
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1003.70Кб |
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1.05Мб |
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10б |
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67б |
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133.37Кб |
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242.52Кб |
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245.90Кб |
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325.95Кб |
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378.81Кб |
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428.02Кб |
| 14 |
48б |
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450.06Кб |
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461.82Кб |
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486.26Кб |
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528.18Кб |
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537.42Кб |
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593.67Кб |
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614.16Кб |
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685.36Кб |
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756.93Кб |
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775.54Кб |
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2б |
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838.24Кб |
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907.26Кб |
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944.60Кб |
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978.74Кб |
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1.04Мб |
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3б |
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30.17Кб |
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93.53Кб |
| 18 |
10б |
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106.22Кб |
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129.63Кб |
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161.40Кб |
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163.90Кб |
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167.27Кб |
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198.17Кб |
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230.55Кб |
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244.35Кб |
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290.50Кб |
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478.96Кб |
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9б |
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494.77Кб |
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537.70Кб |
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548.84Кб |
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563.09Кб |
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585.08Кб |
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619.92Кб |
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629.70Кб |
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632.97Кб |
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633.96Кб |
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633.96Кб |
| 2 |
12б |
| 20 |
38б |
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633.96Кб |
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633.96Кб |
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633.96Кб |
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636.17Кб |
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636.17Кб |
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636.17Кб |
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636.17Кб |
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636.17Кб |
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657.63Кб |
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707.35Кб |
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48б |
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717.23Кб |
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746.37Кб |
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904.63Кб |
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945.25Кб |
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947.25Кб |
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1007.50Кб |
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1.02Мб |
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12б |
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4б |
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85б |
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5.50Кб |
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15.90Кб |
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52б |
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138.93Кб |
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153.94Кб |
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163.44Кб |
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176.64Кб |
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209.87Кб |
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247.93Кб |
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321.15Кб |
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325.26Кб |
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468.76Кб |
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490.96Кб |
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22б |
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498.69Кб |
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540.84Кб |
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567.23Кб |
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630.03Кб |
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692.18Кб |
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736.36Кб |
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748.39Кб |
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760.58Кб |
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771.33Кб |
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800.48Кб |
| 27 |
4б |
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813.44Кб |
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839.63Кб |
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920.01Кб |
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967.67Кб |
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990.64Кб |
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996.34Кб |
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1012.11Кб |
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1012.95Кб |
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1.01Мб |
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1.06Мб |
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1б |
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1.06Мб |
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1.31Мб |
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33б |
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1.31Мб |
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1.48Мб |
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1.52Мб |
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1.62Мб |
| 3 |
2б |
| 30 |
14б |
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1.65Мб |
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1.69Мб |
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1.69Мб |
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1.72Мб |
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1.75Мб |
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1.78Мб |
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1.80Мб |
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1.84Мб |
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1.86Мб |
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1.94Мб |
| 31 |
1б |
| 310 |
2.00Мб |
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34.29Кб |
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109.99Кб |
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116.23Кб |
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119.14Кб |
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189.88Кб |
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221.69Кб |
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271.54Кб |
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315.38Кб |
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350.77Кб |
| 32 |
7б |
| 320 |
436.99Кб |
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445.28Кб |
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463.96Кб |
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470.93Кб |
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514.28Кб |
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541.93Кб |
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555.24Кб |
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569.42Кб |
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571.39Кб |
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632.29Кб |
| 33 |
12б |
| 330 |
668.56Кб |
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760.29Кб |
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787.83Кб |
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847.58Кб |
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879.54Кб |
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909.30Кб |
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912.27Кб |
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969.94Кб |
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995.59Кб |
| 339 |
1.02Мб |
| 34 |
4б |
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1.16Мб |
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1.21Мб |
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1.24Мб |
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1.29Мб |
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1.32Мб |
| 35 |
15б |
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1.36Мб |
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1.44Мб |
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1.48Мб |
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1.50Мб |
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1.58Мб |
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1.59Мб |
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1.59Мб |
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1.60Мб |
| 36 |
3б |
| 360 |
1.61Мб |
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1.61Мб |
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1.61Мб |
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1.62Мб |
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1.65Мб |
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1.67Мб |
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1.76Мб |
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1.82Мб |
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1.82Мб |
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1.83Мб |
| 37 |
15б |
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1.83Мб |
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1.87Мб |
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1.92Мб |
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1.93Мб |
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1.93Мб |
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1.99Мб |
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15.06Кб |
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60.52Кб |
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135.04Кб |
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139.18Кб |
| 38 |
11б |
| 380 |
149.06Кб |
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192.68Кб |
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194.36Кб |
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218.21Кб |
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231.87Кб |
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253.59Кб |
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269.51Кб |
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342.23Кб |
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347.36Кб |
| 389 |
354.27Кб |
| 39 |
2б |
| 390 |
370.86Кб |
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395.90Кб |
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449.17Кб |
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452.41Кб |
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496.97Кб |
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503.44Кб |
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533.61Кб |
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559.74Кб |
| 398 |
597.87Кб |
| 399 |
634.58Кб |
| 4 |
8б |
| 40 |
3б |
| 400 |
703.89Кб |
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721.48Кб |
| 402 |
780.88Кб |
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782.81Кб |
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801.34Кб |
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814.19Кб |
| 406 |
819.55Кб |
| 407 |
820.29Кб |
| 408 |
829.40Кб |
| 409 |
866.66Кб |
| 41 |
1б |
| 410 |
869.94Кб |
| 411 |
944.18Кб |
| 412 |
974.43Кб |
| 413 |
1.05Мб |
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1.06Мб |
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1.06Мб |
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1.07Мб |
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1.07Мб |
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1.08Мб |
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1.10Мб |
| 42 |
107б |
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1.11Мб |
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1.15Мб |
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1.21Мб |
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1.24Мб |
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1.27Мб |
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1.27Мб |
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1.27Мб |
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1.27Мб |
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1.27Мб |
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1.27Мб |
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178б |
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1.28Мб |
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1.28Мб |
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1.35Мб |
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1.35Мб |
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1.39Мб |
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1.39Мб |
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1.40Мб |
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1.45Мб |
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1.49Мб |
| 44 |
16б |
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1.50Мб |
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1.51Мб |
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1.54Мб |
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1.61Мб |
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1.64Мб |
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1.67Мб |
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1.69Мб |
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1.72Мб |
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1.76Мб |
| 45 |
4б |
| 450 |
1.83Мб |
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1.89Мб |
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1.89Мб |
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1.90Мб |
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1.91Мб |
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1.93Мб |
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1.94Мб |
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1.98Мб |
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1.99Мб |
| 459 |
8.76Кб |
| 46 |
2б |
| 460 |
26.28Кб |
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44.35Кб |
| 462 |
83.72Кб |
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113.71Кб |
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114.13Кб |
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133.46Кб |
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133.79Кб |
| 467 |
137.54Кб |
| 468 |
154.73Кб |
| 469 |
229.10Кб |
| 47 |
79б |
| 470 |
263.27Кб |
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268.15Кб |
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294.25Кб |
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334.25Кб |
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385.60Кб |
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429.70Кб |
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434.44Кб |
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447.12Кб |
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449.74Кб |
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476.18Кб |
| 48 |
133б |
| 480 |
480.28Кб |
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517.54Кб |
| 482 |
567.28Кб |
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583.03Кб |
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613.26Кб |
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618.72Кб |
| 486 |
621.66Кб |
| 487 |
688.00Кб |
| 488 |
691.39Кб |
| 489 |
708.59Кб |
| 49 |
1б |
| 490 |
725.82Кб |
| 491 |
749.22Кб |
| 492 |
754.91Кб |
| 493 |
758.94Кб |
| 494 |
771.09Кб |
| 495 |
829.84Кб |
| 496 |
841.39Кб |
| 497 |
844.74Кб |
| 498 |
856.69Кб |
| 499 |
865.89Кб |
| 5 |
2б |
| 50 |
147б |
| 500 |
877.50Кб |
| 501 |
919.18Кб |
| 502 |
924.19Кб |
| 503 |
949.66Кб |
| 504 |
1.01Мб |
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1.03Мб |
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1.03Мб |
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1.10Мб |
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1.15Мб |
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1.15Мб |
| 51 |
8б |
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1.15Мб |
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1.15Мб |
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1.16Мб |
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1.21Мб |
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1.34Мб |
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1.34Мб |
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1.36Мб |
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1.40Мб |
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1.42Мб |
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1.44Мб |
| 52 |
56б |
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1.46Мб |
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1.46Мб |
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1.54Мб |
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1.59Мб |
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1.63Мб |
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1.63Мб |
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1.64Мб |
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1.79Мб |
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1.81Мб |
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1.81Мб |
| 53 |
31б |
| 530 |
1.81Мб |
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1.85Мб |
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1.88Мб |
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1.94Мб |
| 534 |
14.80Кб |
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57.17Кб |
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75.14Кб |
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86.87Кб |
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100.31Кб |
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102.89Кб |
| 54 |
62.44Кб |
| 540 |
104.28Кб |
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161.73Кб |
| 542 |
203.77Кб |
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246.86Кб |
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365.18Кб |
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412.76Кб |
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445.09Кб |
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533.56Кб |
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540.92Кб |
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550.42Кб |
| 55 |
1.90Мб |
| 550 |
594.75Кб |
| 551 |
611.04Кб |
| 552 |
633.96Кб |
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636.42Кб |
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651.48Кб |
| 555 |
661.47Кб |
| 556 |
685.04Кб |
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685.99Кб |
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758.01Кб |
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859.91Кб |
| 56 |
881.25Кб |
| 560 |
859.91Кб |
| 561 |
859.91Кб |
| 562 |
948.98Кб |
| 563 |
964.40Кб |
| 564 |
1004.95Кб |
| 565 |
1.09Мб |
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1.09Мб |
| 567 |
1.16Мб |
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1.18Мб |
| 569 |
1.18Мб |
| 57 |
997.98Кб |
| 570 |
1.18Мб |
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1.20Мб |
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1.22Мб |
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1.26Мб |
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1.28Мб |
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1.34Мб |
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1.35Мб |
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1.37Мб |
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1.40Мб |
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1.40Мб |
| 58 |
1.03Мб |
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1.46Мб |
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1.53Мб |
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1.60Мб |
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1.61Мб |
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1.63Мб |
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1.73Мб |
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1.75Мб |
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1.77Мб |
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1.95Мб |
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2.00Мб |
| 59 |
1.13Мб |
| 590 |
3.75Кб |
| 591 |
64.10Кб |
| 592 |
133.16Кб |
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137.63Кб |
| 594 |
144.60Кб |
| 595 |
156.22Кб |
| 596 |
214.69Кб |
| 597 |
258.14Кб |
| 598 |
273.76Кб |
| 599 |
306.54Кб |
| 6 |
12б |
| 60 |
1.99Мб |
| 600 |
355.26Кб |
| 601 |
361.31Кб |
| 602 |
566.47Кб |
| 603 |
595.31Кб |
| 604 |
683.11Кб |
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689.71Кб |
| 606 |
764.69Кб |
| 607 |
837.62Кб |
| 608 |
906.29Кб |
| 609 |
928.42Кб |
| 61 |
32.68Кб |
| 610 |
963.49Кб |
| 611 |
1022.87Кб |
| 612 |
1.04Мб |
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1.05Мб |
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1.09Мб |
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1.11Мб |
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1.16Мб |
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1.18Мб |
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1.21Мб |
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1.26Мб |
| 62 |
47.81Кб |
| 620 |
1.29Мб |
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1.34Мб |
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1.42Мб |
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1.63Мб |
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1.65Мб |
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1.76Мб |
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1.76Мб |
| 627 |
1.78Мб |
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1.81Мб |
| 629 |
1.82Мб |
| 63 |
95.63Кб |
| 630 |
1.83Мб |
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1.85Мб |
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1.85Мб |
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1.90Мб |
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1.90Мб |
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1.98Мб |
| 636 |
80.06Кб |
| 637 |
87.98Кб |
| 638 |
104.96Кб |
| 639 |
107.98Кб |
| 64 |
386.21Кб |
| 640 |
127.58Кб |
| 641 |
196.48Кб |
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221.01Кб |
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231.59Кб |
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303.58Кб |
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660.07Кб |
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684.03Кб |
| 647 |
783.22Кб |
| 648 |
820.71Кб |
| 649 |
914.94Кб |
| 65 |
448.32Кб |
| 650 |
970.18Кб |
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982.61Кб |
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982.61Кб |
| 653 |
982.61Кб |
| 654 |
982.61Кб |
| 655 |
1010.63Кб |
| 656 |
1.04Мб |
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1.13Мб |
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1.15Мб |
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1.16Мб |
| 66 |
505.08Кб |
| 660 |
1.26Мб |
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1.30Мб |
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1.34Мб |
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1.34Мб |
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1.36Мб |
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1.38Мб |
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1.38Мб |
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1.47Мб |
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1.52Мб |
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1.55Мб |
| 67 |
702.55Кб |
| 670 |
1.58Мб |
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1.65Мб |
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1.96Мб |
| 673 |
93.79Кб |
| 674 |
170.14Кб |
| 675 |
175.26Кб |
| 676 |
192.71Кб |
| 677 |
271.61Кб |
| 678 |
310.21Кб |
| 679 |
310.21Кб |
| 68 |
752.38Кб |
| 680 |
310.21Кб |
| 681 |
310.21Кб |
| 682 |
358.45Кб |
| 683 |
583.43Кб |
| 684 |
626.94Кб |
| 685 |
700.06Кб |
| 686 |
775.38Кб |
| 687 |
921.55Кб |
| 688 |
1014.16Кб |
| 689 |
1017.84Кб |
| 69 |
962.49Кб |
| 690 |
1.15Мб |
| 691 |
1.15Мб |
| 692 |
1.18Мб |
| 693 |
1.24Мб |
| 694 |
1.44Мб |
| 695 |
1.52Мб |
| 696 |
1.79Мб |
| 697 |
1.92Мб |
| 7 |
1б |
| 70 |
992.68Кб |
| 71 |
1015.95Кб |
| 72 |
1.03Мб |
| 73 |
1.33Мб |
| 74 |
1.33Мб |
| 75 |
1.57Мб |
| 76 |
1.91Мб |
| 77 |
1.98Мб |
| 78 |
1.99Мб |
| 79 |
734.35Кб |
| 8 |
7б |
| 80 |
974.48Кб |
| 81 |
1.06Мб |
| 82 |
1.14Мб |
| 83 |
1.30Мб |
| 84 |
1.30Мб |
| 85 |
1.34Мб |
| 86 |
1.72Мб |
| 87 |
1.89Мб |
| 88 |
1.93Мб |
| 89 |
16.34Кб |
| 9 |
2б |
| 90 |
57.61Кб |
| 91 |
457.68Кб |
| 92 |
645.98Кб |
| 93 |
667.53Кб |
| 94 |
668.08Кб |
| 95 |
668.08Кб |
| 96 |
668.08Кб |
| 97 |
749.48Кб |
| 98 |
1.05Мб |
| 99 |
1.17Мб |
| TutsNode.net.txt |
63б |